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Xin Yao 0001
Person information
- affiliation: Southern University of Science and Technology, Shenzhen Key Lab of Computational Intelligence, China
- affiliation: University of Birmingham, UK
- affiliation (PhD 1990): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Xin Yao — disambiguation page
- Xin Yao 0002
— Central South University, School of Computer Science and Engineering, Changsha, China (and 1 more)
- Xin Yao 0003
- Xin Yao 0004
- Xin Yao 0005 — Commanding Communications Academy, Wuhan, China
- Xin Yao 0006
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2020 – today
- 2024
- [j396]Bo Yuan
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]. IEEE Comput. Intell. Mag. 19(2): 129-141 (2024) - [j395]Cong Teng
Online cross-project approach with project-level similarity for just-in-time software defect prediction. Empir. Softw. Eng. 29(6): 158 (2024) - [j394]Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao:
Generative Adversarial Ranking Nets. J. Mach. Learn. Res. 25: 119:1-119:35 (2024) - [j393]Yinghua Yao
Sanitized clustering against confounding bias. Mach. Learn. 113(6): 3711-3730 (2024) - [j392]Yinghua Yao, Yuangang Pan, Jing Li
PROUD: PaRetO-gUided diffusion model for multi-objective generation. Mach. Learn. 113(9): 6511-6538 (2024) - [j391]Daniel Herring
A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem. Swarm Evol. Comput. 84: 101433 (2024) - [j390]Bingdong Li
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning. Swarm Evol. Comput. 88: 101610 (2024) - [j389]Ziming Wang
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How? ACM Trans. Auton. Adapt. Syst. 19(4): 20:1-20:40 (2024) - [j388]Bai Yan
Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order. IEEE Trans. Cybern. 54(2): 935-947 (2024) - [j387]Xunzhao Yu
Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm. IEEE Trans. Cybern. 54(6): 3832-3845 (2024) - [j386]Wenbin Pei
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28(2): 353-373 (2024) - [j385]Miqing Li
Multi-Objective Archiving. IEEE Trans. Evol. Comput. 28(3): 696-717 (2024) - [j384]Danial Yazdani
Robust Optimization Over Time: A Critical Review. IEEE Trans. Evol. Comput. 28(5): 1265-1285 (2024) - [j383]Ke Li
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. IEEE Trans. Evol. Comput. 28(5): 1396-1411 (2024) - [j382]Ziming Wang
Multi-objective Feature Attribution Explanation For Explainable Machine Learning. ACM Trans. Evol. Learn. Optim. 4(1): 2:1-2:32 (2024) - [j381]Gan Ruan
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4210-4224 (2024) - [j380]Zhi Cao
Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection. IEEE Trans. Fuzzy Syst. 32(9): 5086-5097 (2024) - [j379]Shuxian Li
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights. IEEE Trans. Knowl. Data Eng. 36(10): 5265-5279 (2024) - [j378]Yinghua Yao
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3754-3768 (2024) - [j377]Xinming Shi
Evolving Memristive Reservoir. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13574-13588 (2024) - [j376]Guofu Zhang
On Estimating the Feasible Solution Space of Multi-objective Testing Resource Allocation. ACM Trans. Softw. Eng. Methodol. 33(6): 145 (2024) - [c368]Shuaixiang Zhang, Yixuan Yang, Hao Tong, Xin Yao:
Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems. CEC 2024: 1-8 - [c367]Jiashi Gao, Xin Yao, Xuetao Wei:
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect. ECAI 2024: 1967-1974 - [c366]Chengpeng Hu, Jialin Liu, Xin Yao:
Evolutionary Reinforcement Learning via Cooperative Coevolution. ECAI 2024: 3300-3307 - [c365]Ziming Wang
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning. GECCO Companion 2024: 61-62 - [c364]Danial Yazdani
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. GECCO 2024 - [c363]Han Zhang
An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints. GECCO 2024 - [c362]Han Zhang
PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading Constraints. GECCO Companion 2024: 231-234 - [c361]Danial Yazdani
A Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and Beyond. GECCO Companion 2024: 1187-1196 - [c360]Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao:
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation. ICLR 2024 - [c359]Lidan Tan
A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification. Intelligent Information Processing (2) 2024: 119-133 - [c358]Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. IJCNN 2024: 1-8 - [c357]Han Zhang
Knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints. PPSN (1) 2024: 133-148 - [c356]Mingfeng Li
When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms? PPSN (3) 2024: 280-294 - [c355]Xinming Shi
Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. SGAI Conf. (1) 2024: 253-267 - [i101]Danial Yazdani, Jürgen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. CoRR abs/2402.15731 (2024) - [i100]Ziming Wang, Changwu Huang, Xin Yao:
Procedural Fairness in Machine Learning. CoRR abs/2404.01877 (2024) - [i99]Chengpeng Hu, Jialin Liu
Evolutionary Reinforcement Learning via Cooperative Coevolution. CoRR abs/2404.14763 (2024) - [i98]Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang:
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR abs/2405.18884 (2024) - [i97]Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. CoRR abs/2407.00063 (2024) - [i96]Yinghua Yao, Yuangang Pan, Jing Li
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation. CoRR abs/2407.04493 (2024) - [i95]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - [i94]Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei:
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning. CoRR abs/2410.06509 (2024) - 2023
- [j375]Shengcai Liu
How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 18(3): 14-28 (2023) - [j374]Ming Yang
Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 18(3): 56-68 (2023) - [j373]Shouyong Jiang
Evolutionary Dynamic Multi-objective Optimisation: A Survey. ACM Comput. Surv. 55(4): 76:1-76:47 (2023) - [j372]Liyan Song
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. Empir. Softw. Eng. 28(5): 124 (2023) - [j371]Kangshun Li, Ziming Wang
Recidivism early warning model based on rough sets and the improved K-prototype clustering algorithm and a back propagation neural network. J. Ambient Intell. Humaniz. Comput. 14(2): 839-851 (2023) - [j370]Qingquan Zhang
An efficient many objective optimization algorithm with few parameters. Swarm Evol. Comput. 83: 101405 (2023) - [j369]Changwu Huang
An Overview of Artificial Intelligence Ethics. IEEE Trans. Artif. Intell. 4(4): 799-819 (2023) - [j368]Chengpeng Hu
Reinforcement Learning With Dual-Observation for General Video Game Playing. IEEE Trans. Games 15(2): 202-216 (2023) - [j367]Zhaopin Su
Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM. IEEE Trans. Dependable Secur. Comput. 20(5): 4016-4031 (2023) - [j366]Mazhar Ansari Ardeh
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(2): 311-325 (2023) - [j365]Danial Yazdani
Robust Optimization Over Time by Estimating Robustness of Promising Regions. IEEE Trans. Evol. Comput. 27(3): 657-670 (2023) - [j364]Ke Li
Interactive Evolutionary Multiobjective Optimization via Learning to Rank. IEEE Trans. Evol. Comput. 27(4): 749-763 (2023) - [j363]Qingquan Zhang
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. IEEE Trans. Evol. Comput. 27(4): 848-862 (2023) - [j362]Tuo Zhang, Handing Wang
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1162-1176 (2023) - [j361]Delaram Yazdani
A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems. ACM Trans. Evol. Learn. Optim. 3(4): 14:1-14:25 (2023) - [j360]Shuyi Zhang
Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams. IEEE Trans. Knowl. Data Eng. 35(3): 2628-2640 (2023) - [j359]Jie Lu
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6683-6685 (2023) - [j358]Zilu Wang
A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays. ACM Trans. Design Autom. Electr. Syst. 28(5): 82:1-82:32 (2023) - [j357]Guofu Zhang
New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation. IEEE Trans. Software Eng. 49(4): 2513-2529 (2023) - [c354]Shuxian Li, Liyan Song, Yiu-ming Cheung, Xin Yao:
BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. ECAI 2023: 1414-1421 - [c353]Hao Tong
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. GECCO Companion 2023: 45-46 - [c352]Shuaixiang Zhang
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. GECCO Companion 2023: 255-258 - [c351]Jiyuan Pei
Local Optima Correlation Assisted Adaptive Operator Selection. GECCO 2023: 339-347 - [c350]Daniel Herring
An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization. GECCO Companion 2023: 367-370 - [c349]Xinming Shi
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. GECCO Companion 2023: 683-686 - [c348]Zhi Yang, Ziming Wang, Changwu Huang
An Explainable Feature Selection Approach for Fair Machine Learning. ICANN (8) 2023: 75-86 - [c347]Chengpeng Hu
Evolving Constrained Reinforcement Learning Policy. IJCNN 2023: 1-8 - [c346]Chengpeng Hu
Constrained Reinforcement Learning for Dynamic Material Handling. IJCNN 2023: 1-9 - [c345]Ziming Wang, Changwu Huang
Feature Attribution Explanation to Detect Harmful Dataset Shift. IJCNN 2023: 1-8 - [c344]Yunce Zhao
Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. IJCNN 2023: 1-8 - [c343]Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. ECML/PKDD (2) 2023: 103-120 - [c342]Liyan Song
A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. ESEC/SIGSOFT FSE 2023: 605-617 - [c341]Shun Lu
Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks. ICSI (2) 2023: 127-138 - [d3]Liyan Song
HumLa-fse2023. Zenodo, 2023 - [i93]Miqing Li, Manuel López-Ibáñez, Xin Yao:
Multi-Objective Archiving. CoRR abs/2303.09685 (2023) - [i92]Dashan Gao, Yunce Zhao, Yinghua Yao
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack. CoRR abs/2304.03955 (2023) - [i91]Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar P. Filev, Xin Yao:
Experience-Based Evolutionary Algorithms for Expensive Optimization. CoRR abs/2304.04166 (2023) - [i90]Chengpeng Hu, Jiyuan Pei, Jialin Liu
Evolving Constrained Reinforcement Learning Policy. CoRR abs/2304.09869 (2023) - [i89]Jiyuan Pei, Hao Tong, Jialin Liu
Local Optima Correlation Assisted Adaptive Operator Selection. CoRR abs/2305.02805 (2023) - [i88]Weijie Zheng, Xin Yao:
Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights. CoRR abs/2305.07098 (2023) - [i87]Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao:
Constrained Reinforcement Learning for Dynamic Material Handling. CoRR abs/2305.13824 (2023) - [i86]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives. CoRR abs/2306.10668 (2023) - [i85]Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR abs/2308.12644 (2023) - [i84]Jiashi Gao, Changwu Huang, Ming Tang, Shin Hwei Tan, Xin Yao, Xuetao Wei:
EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect. CoRR abs/2309.16338 (2023) - [i83]Yinghua Yao, Yuangang Pan, Jing Li
Sanitized Clustering against Confounding Bias. CoRR abs/2311.01252 (2023) - [i82]Jun He, Siang Yew Chong, Xin Yao:
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels. CoRR abs/2311.10502 (2023) - 2022
- [j356]Changwu Huang
Online algorithm configuration for differential evolution algorithm. Appl. Intell. 52(8): 9193-9211 (2022) - [j355]Bai Yan
Fitness landscape analysis and niching genetic approach for hybrid beamforming in RIS-aided communications. Appl. Soft Comput. 131: 109725 (2022) - [j354]Xinming Shi
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit. Genet. Program. Evolvable Mach. 23(4): 453-493 (2022) - [j353]Wenjian Luo, Luming Shi, Xin Lin, Jiajia Zhang, Miqing Li
Finding top-K solutions for the decision-maker in multiobjective optimization. Inf. Sci. 613: 204-227 (2022) - [j352]Danny Weyns
The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. 26(3-4): 351-367 (2022) - [j351]Changwu Huang
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14(2): 237-251 (2022) - [j350]Xinming Shi
Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation. IEEE Trans. Computers 71(11): 2766-2777 (2022) - [j349]Shengcai Liu
Generative Adversarial Construction of Parallel Portfolios. IEEE Trans. Cybern. 52(2): 784-795 (2022) - [j348]Shaolong Shi
NGA-Inspired Nanorobots-Assisted Detection of Multifocal Cancer. IEEE Trans. Cybern. 52(5): 2787-2797 (2022) - [j347]Danial Yazdani
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52(5): 3380-3393 (2022) - [j346]Shaolong Shi
In Vivo Computing Strategies for Tumor Sensitization and Targeting. IEEE Trans. Cybern. 52(6): 4970-4980 (2022) - [j345]Shaolong Shi
Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting. IEEE Trans. Cybern. 52(9): 9145-9156 (2022) - [j344]Shaolin Wang
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(1): 73-87 (2022) - [j343]Xiaofen Lu
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26(3): 431-445 (2022) - [j342]Wenxing Lan
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26(4): 704-718 (2022) - [j341]Mohammad Nabi Omidvar
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I. IEEE Trans. Evol. Comput. 26(5): 802-822 (2022) - [j340]Mohammad Nabi Omidvar
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II. IEEE Trans. Evol. Comput. 26(5): 823-843 (2022) - [j339]Ke Li
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification. IEEE Trans. Evol. Comput. 26(6): 1409-1423 (2022) - [j338]Hao Tong
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 26(6): 1486-1500 (2022) - [j337]Miqing Li
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance. IEEE Trans. Software Eng. 48(5): 1771-1799 (2022) - [c340]Hao Tong, Leandro L. Minku
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC 2022: 1-8 - [c339]Hao Tong, Leandro L. Minku
What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. GECCO 2022: 305-313 - [c338]Daniel Herring
Reproducibility and baseline reporting for dynamic multi-objective benchmark problems. GECCO 2022: 529-537 - [c337]Xinming Shi
Evolving parsimonious circuits through shapley value-based genetic programming. GECCO Companion 2022: 602-605 - [c336]Danial Yazdani, Xin Yao:
Evolutionary continuous dynamic optimization. GECCO Companion 2022: 1230-1242 - [c335]Chao Pan, Bo Yuan, Wei Zhou, Xin Yao:
Towards Robust Uncertainty Estimation in the Presence of Noisy Labels. ICANN (1) 2022: 673-684 - [c334]Bowen Li
AdderIC: Towards Low Computation Cost Image Compression. ICASSP 2022: 2030-2034 - [c333]Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN 2022: 1-8 - [c332]Changwu Huang
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. IJCNN 2022: 1-7 - [c331]Sneha Saha, Leandro L. Minku
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. IJCNN 2022: 1-9 - [c330]Liyan Song, Shuxian Li, Leandro L. Minku
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. IJCNN 2022: 1-8 - [c329]Xin Yao, Jiangong Chen, Ting He, Jing Yang, Bin Li
A Scalable Mixed Reality Platform for Remote Collaborative LEGO Design. INFOCOM Workshops 2022: 1-2 - [c328]Jiyuan Pei
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. PRICAI (1) 2022: 562-573 - [c327]Ge Guo, Wenjing Hong, Chaoyong Zhou, Xin Yao:
Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization. SSCI 2022: 619-625 - [i81]Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao:
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. CoRR abs/2201.04361 (2022) - [i80]Ziming Wang, Xin Yao:
An Efficient Multi-Indicator and Many-Objective Optimization Algorithm based on Two-Archive. CoRR abs/2201.05435 (2022) - [i79]Ke Li, Guiyu Lai, Xin Yao:
Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank. CoRR abs/2204.02604 (2022) - [i78]Daniel Herring, Michael Kirley, Xin Yao:
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems. CoRR abs/2204.04140 (2022) - [i77]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
The Vision of Self-Evolving Computing Systems. CoRR abs/2204.06825 (2022) - [i76]Bowen Li, Xin Yao, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan:
Universal Learned Image Compression With Low Computational Cost. CoRR abs/2206.11599 (2022) - [i75]Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao:
How Good Is Neural Combinatorial Optimization? CoRR abs/2209.10913 (2022) - [i74]Qingquan Zhang, Jialin Liu
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning. CoRR abs/2210.16754 (2022) - [i73]Ke Li, Renzhi Chen, Xin Yao:
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. CoRR abs/2211.02879 (2022) - 2021
- [j336]Chao Qian
Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica 83(4): 940-975 (2021) - [j335]Bai Yan
Multiobjective bilevel evolutionary approach for off-grid direction-of-arrival estimation. Appl. Soft Comput. 113(Part): 107954 (2021) - [j334]Amir Hussain, Marios M. Polycarpou, Xin Yao:
Conference Report on 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) [Conference Reports]. IEEE Comput. Intell. Mag. 16(1): 15-98 (2021) - [j333]Jialin Liu
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 16(1): 63-82 (2021) - [j332]Peng Yang, Qi Yang
Parallel exploration via negatively correlated search. Frontiers Comput. Sci. 15(5): 155333 (2021) - [j331]Jie Yang
Adaptive Initialization Method for K-Means Algorithm. Frontiers Artif. Intell. 4: 740817 (2021) - [j330]Yaoyao He
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression. Neurocomputing 430: 121-137 (2021) - [j329]Youcong Ni, Xin Du, Peng Ye, Leandro L. Minku
Multi-objective software performance optimisation at the architecture level using randomised search rules. Inf. Softw. Technol. 135: 106565 (2021) - [j328]Hao Tong, Changwu Huang
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study. Inf. Sci. 562: 414-437 (2021) - [j327]Ying Tan
Preface. Nat. Comput. 20(1): 1-2 (2021) - [j326]Shaolong Shi
Exponential evolution mechanism for in vivo computation. Swarm Evol. Comput. 65: 100931 (2021) - [j325]Shengcai Liu
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. Swarm Evol. Comput. 66: 100927 (2021) - [j324]Ming Yang
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. 25(1): 159-171 (2021) - [j323]Zhaopin Su
Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation. IEEE Trans. Evol. Comput. 25(3): 537-551 (2021) - [j322]Ke Tang
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. 25(3): 595-607 (2021) - [j321]Danial Yazdani
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j320]Danial Yazdani
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j319]Weijie Zheng
Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property. IEEE Trans. Evol. Comput. 25(4): 696-709 (2021) - [j318]Bo Yuan
Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. ACM Trans. Embed. Comput. Syst. 20(3): 21:1-21:25 (2021) - [j317]Ye Shi
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 29-41 (2021) - [j316]Yaqiang Yao
Discriminative Learning in the Model Space for Symbolic Sequence Classification. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 154-167 (2021) - [j315]Yang Li
Symbolic Sequence Classification in the Fractal Space. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 168-177 (2021) - [j314]Xingsi Xue
Efficient User Involvement in Semiautomatic Ontology Matching. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 214-224 (2021) - [j313]Chen Jiang, Bo Yuan, Tsung-Yi Ho
Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm. ACM Trans. Design Autom. Electr. Syst. 26(6): 42:1-42:22 (2021) - [c326]Hao Bai, Changwu Huang
Adaptive Differential Evolution based on Exploration and Exploitation Control. CEC 2021: 41-48 - [c325]Sneha Saha, Leandro L. Minku
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. CEC 2021: 1767-1776 - [c324]Changwu Huang
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO 2021: 672-683 - [c323]Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021). GECCO Companion 2021: 47-48 - [c322]Hao Tong, Leandro L. Minku
A hybrid local search framework for the dynamic capacitated arc routing problem. GECCO Companion 2021: 139-140 - [c321]Weijie Zheng
When non-elitism meets time-linkage problems. GECCO 2021: 741-749 - [c320]Qingquan Zhang
Fairer Machine Learning Through Multi-objective Evolutionary Learning. ICANN (4) 2021: 111-123 - [c319]Zander Blasingame
Feature Creation Towards the Detection of Non-control-Flow Hijacking Attacks. ICANN (1) 2021: 153-164 - [c318]Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN 2021: 1-9 - [c317]Chao Pan, Xin Yao:
Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation. IJCNN 2021: 1-8 - [c316]Giuseppe Serra, Zhao Xu, Mathias Niepert
Interpreting Node Embedding with Text-labeled Graphs. IJCNN 2021: 1-8 - [c315]Jinghui Li, Bifei Mao, Zhizhang Liang, Zeqi Zhang, Qiushi Lin, Xin Yao:
Trust and Trustworthiness: What They Are and How to Achieve Them. PerCom Workshops 2021: 711-717 - [c314]Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino, Xin Yao:
Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection. ECML/PKDD (3) 2021: 795-810 - [c313]Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI 2021: 1-7 - [c312]Jiyuan Pei
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. SSCI 2021: 1-9 - [c311]Sneha Saha, Thiago Rios, Leandro L. Minku
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI 2021: 1-9 - [c310]Xinming Shi
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems. SSCI 2021: 1-8 - [i72]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR abs/2104.06585 (2021) - [i71]Yuan Pu, Shaochen Wang, Rui Yang, Xin Yao, Bin Li:
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2104.06655 (2021) - [i70]Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao:
When Non-Elitism Meets Time-Linkage Problems. CoRR abs/2104.06831 (2021) - [i69]Yuan Pu, Shaochen Wang, Xin Yao, Bin Li:
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics. CoRR abs/2105.03310 (2021) - [i68]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - [i67]Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang
Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation. CoRR abs/2106.07318 (2021) - [i66]Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order. CoRR abs/2106.07323 (2021) - [i65]Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. CoRR abs/2107.06700 (2021) - [i64]Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR abs/2107.11019 (2021) - [i63]Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
Lifelong Computing. CoRR abs/2108.08802 (2021) - [i62]Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm. CoRR abs/2109.09054 (2021) - [i61]Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
TRIP: Refining Image-to-Image Translation via Rival Preferences. CoRR abs/2111.13411 (2021) - 2020
- [j312]Lu Liu, Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao, Xin Yao:
xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes]. IEEE Comput. Intell. Mag. 15(2): 78-88 (2020) - [j311]Miqing Li
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation. Evol. Comput. 28(2): 227-253 (2020) - [j310]Liangli Zhen
Objective reduction for visualising many-objective solution sets. Inf. Sci. 512: 278-294 (2020) - [j309]Liangli Zhen
Kernel truncated regression representation for robust subspace clustering. Inf. Sci. 524: 59-76 (2020) - [j308]Ying Tan
Preface. Nat. Comput. 19(4): 643-645 (2020) - [j307]Nikil D. Dutt, Carlo S. Regazzoni, Bernhard Rinner, Xin Yao:
Self-Awareness for Autonomous Systems. Proc. IEEE 108(7): 971-975 (2020) - [j306]Tao Chen
Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline. Proc. IEEE 108(7): 1094-1126 (2020) - [j305]Bo Yuan
Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores. Soft Comput. 24(2): 981-995 (2020) - [j304]Zhaopin Su
Finding the Largest Successful Coalition under the Strict Goal Preferences of Agents. ACM Trans. Auton. Adapt. Syst. 14(4): 15:1-15:33 (2020) - [j303]Danial Yazdani
Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. IEEE Trans. Evol. Comput. 24(1): 1-15 (2020) - [j302]Bo Yuan
Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems. IEEE Trans. Evol. Comput. 24(1): 157-169 (2020) - [j301]Changwu Huang
A Survey of Automatic Parameter Tuning Methods for Metaheuristics. IEEE Trans. Evol. Comput. 24(2): 201-216 (2020) - [j300]Cheng He
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Trans. Evol. Comput. 24(5): 868-881 (2020) - [j299]Ke Li
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 24(6): 1078-1096 (2020) - [j298]Everlandio R. Q. Fernandes
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. IEEE Trans. Knowl. Data Eng. 32(6): 1104-1115 (2020) - [j297]Robert M. Hierons
Many-Objective Test Suite Generation for Software Product Lines. ACM Trans. Softw. Eng. Methodol. 29(1): 2:1-2:46 (2020) - [j296]Guofu Zhang, Zhaopin Su
A Task-Oriented Heuristic for Repairing Infeasible Solutions to Overlapping Coalition Structure Generation. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 785-801 (2020) - [c309]Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. AAAI 2020: 2384-2391 - [c308]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC 2020: 1-7 - [c307]Changwu Huang
Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c306]Gan Ruan, Leandro L. Minku
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC 2020: 1-8 - [c305]Shaolong Shi, Yifan Chen, Zheng Gong, Xiaoyou Lin, Neda Sharifi, Xin Yao:
In Vivo Computation for Tumor Sensitization and Targeting at Different Tumor Growth Stages. CEC 2020: 1-6 - [c304]Tianye Shu, Ziqi Wang, Jialin Liu
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CEC 2020: 1-10 - [c303]Shaochen Wang, Yuan Pu, Shangtong Yang, Xin Yao, Bin Li:
Boltzmann Exploration for Deterministic Policy Optimization. ICONIP (2) 2020: 214-222 - [c302]Yuan Pu, Shaochen Wang, Xin Yao, Bin Li:
Latent Context Based Soft Actor-Critic. IJCNN 2020: 1-7 - [c301]Hao Tong, Leandro L. Minku
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) 2020: 428-440 - [c300]Han Zhang
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. PPSN (2) 2020: 454-467 - [c299]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) 2020: 583-596 - [c298]Daniel Herring
Responsive Multi-population Models for the Dynamic Travelling Thief Problem. SSCI 2020: 297-304 - [c297]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI 2020: 305-312 - [c296]Sneha Saha, Stefan Menzel, Leandro L. Minku
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI 2020: 1469-1477 - [c295]Chenhao Li, Jiyuan Pei
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. SSCI 2020: 2391-2398 - [c294]Qingquan Zhang
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. SSCI 2020: 2754-2761 - [d2]Gan Ruan, Leandro L. Minku
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. Zenodo, 2020 - [d1]Gan Ruan, Leandro L. Minku
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. Zenodo, 2020 - [i60]Tao Chen, Rami Bahsoon, Xin Yao:
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline. CoRR abs/2001.07076 (2020) - [i59]Daniel Herring, Michael Kirley, Xin Yao:
Dynamic Multi-objective Optimization of the Travelling Thief Problem. CoRR abs/2002.02636 (2020) - [i58]Tao Chen, Miqing Li, Xin Yao:
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance. CoRR abs/2002.09040 (2020) - [i57]Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property. CoRR abs/2004.12304 (2020) - [i56]Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao:
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CoRR abs/2005.06148 (2020) - [i55]Ke Li, Haifeng Nie, Huiru Gao, Xin Yao:
Knee Point Identification Based on Trade-Off Utility. CoRR abs/2005.11600 (2020) - [i54]Ke Tang, Shengcai Liu, Peng Yang, Xin Yao:
Few-shots Parameter Tuning via Co-evolution. CoRR abs/2007.00501 (2020) - [i53]Han Zhang, Jialin Liu, Xin Yao:
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. CoRR abs/2007.04769 (2020) - [i52]Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu:
Robust Reinforcement Learning for General Video Game Playing. CoRR abs/2011.05622 (2020) - [i51]Shengcai Liu, Ke Tang, Xin Yao:
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. CoRR abs/2011.06331 (2020)
2010 – 2019
- 2019
- [j295]Peng Yang
A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. IEEE Access 7: 163105-163118 (2019) - [j294]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. 275: 279-294 (2019) - [j293]Borhan Kazimipour
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Appl. Soft Comput. 76: 265-281 (2019) - [j292]Shuo Wang, Leandro L. Minku
Learning from data streams and class imbalance. Connect. Sci. 31(2): 103-104 (2019) - [j291]Miqing Li
Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey. ACM Comput. Surv. 52(2): 26:1-26:38 (2019) - [j290]Siang Yew Chong
A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks. Evol. Comput. 27(2): 195-228 (2019) - [j289]Shuo Wang
Learning in the presence of class imbalance and concept drift. Neurocomputing 343: 1-2 (2019) - [j288]Tao Chen, Miqing Li, Xin Yao:
Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition. Inf. Softw. Technol. 114: 155-175 (2019) - [j287]Thi Tam Nguyen, Huynh Thi Thanh Binh
A hybrid clustering and evolutionary approach for wireless underground sensor network lifetime maximization. Inf. Sci. 504: 372-393 (2019) - [j286]José Antonio Lozano, Ke Tang, Xin Yao
Preface. Nat. Comput. 18(2): 285-286 (2019) - [j285]Zhichen Gong
Multiobjective Learning in the Model Space for Time Series Classification. IEEE Trans. Cybern. 49(3): 918-932 (2019) - [j284]Ke Li
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(2): 303-315 (2019) - [j283]Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - [j282]Ran Cheng
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - [j281]Chaoyue Wang
Evolutionary Generative Adversarial Networks. IEEE Trans. Evol. Comput. 23(6): 921-934 (2019) - [j280]Cheng He
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - [j279]Ke Li
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions. IEEE Trans. Fuzzy Syst. 27(5): 849-860 (2019) - [j278]Muhammad Ali Nayeem
Solving Transit Network Design Problem Using Many-Objective Evolutionary Approach. IEEE Trans. Intell. Transp. Syst. 20(10): 3952-3963 (2019) - [j277]Bingbing Jiang
Probabilistic Feature Selection and Classification Vector Machine. ACM Trans. Knowl. Discov. Data 13(2): 21:1-21:27 (2019) - [j276]Liyan Song
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling. ACM Trans. Softw. Eng. Methodol. 28(1): 5:1-5:46 (2019) - [c293]Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. AAAI 2019: 1560-1567 - [c292]Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang:
Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation. CEC 2019: 866-872 - [c291]Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, Xin Yao:
An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. CEC 2019: 1195-1202 - [c290]Cheng He
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC 2019: 1672-1679 - [c289]Hao Tong, Changwu Huang
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CEC 2019: 1996-2003 - [c288]Changwu Huang
Automatic Parameter Tuning using Bayesian Optimization Method. CEC 2019: 2090-2097 - [c287]Daniel Herring
Investigation of Asynchrony in Dynamic Multi-Objective Optimization. CEC 2019: 3165-3172 - [c286]Miqing Li
An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods. EMO 2019: 15-26 - [c285]Hao Tong, Jialin Liu
Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms. GECCO 2019: 943-950 - [c284]Sneha Saha, Thiago Rios
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c283]Yinghua Yao
Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs. ICONIP (4) 2019: 40-48 - [c282]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. ICONIP (1) 2019: 327-339 - [c281]Guoji Fu, Chengbin Hou
Learning Topological Representation for Networks via Hierarchical Sampling. IJCNN 2019: 1-8 - [c280]Liangpeng Zhang, Ke Tang, Xin Yao:
Explicit Planning for Efficient Exploration in Reinforcement Learning. NeurIPS 2019: 7486-7495 - [c279]Tao Zheng
Rectified Encoder Network for High-Dimensional Imbalanced Learning. PRICAI (2) 2019: 684-697 - [c278]Sneha Saha, Thiago Rios
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI 2019: 858-866 - [c277]Jialin Liu
Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems. SSCI 2019: 1590-1597 - [c276]Changwu Huang
Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems. SSCI 2019: 1668-1675 - [c275]Hao Tong, Shuyi Zhang, Changwu Huang
Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms. SSCI 2019: 1849-1856 - [c274]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI 2019: 2027-2033 - [c273]Gan Ruan, Leandro L. Minku
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI 2019: 2034-2041 - [c272]Xunzhao Yu
Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization. SSCI 2019: 2058-2065 - [c271]Chao Pan, Xin Yao:
DIDD: Identifying and Learning New Conceptual Data with Lower Diversity. SSCI 2019: 2410-2417 - [i50]Hao Tong, Changwu Huang, Jialin Liu, Xin Yao:
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CoRR abs/1901.05755 (2019) - [i49]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. CoRR abs/1901.10234 (2019) - [i48]Guoji Fu, Chengbin Hou, Xin Yao:
Learning Topological Representation for Networks via Hierarchical Sampling. CoRR abs/1902.06684 (2019) - [i47]Hao Tong, Jialin Liu, Xin Yao:
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms. CoRR abs/1904.09813 (2019) - [i46]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR abs/1907.13529 (2019) - [i45]Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. CoRR abs/1909.13567 (2019) - [i44]Peng Yang, Ke Tang, Xin Yao:
Negatively Correlated Search as a Parallel Exploration Search Strategy. CoRR abs/1910.07151 (2019) - [i43]Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. CoRR abs/1911.08200 (2019) - [i42]Jie Yang, Yu-Kai Wang, Xin Yao, Chin-Teng Lin:
Adaptive Initialization Method for K-means Algorithm. CoRR abs/1911.12104 (2019) - [i41]Carola Doerr
Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431). Dagstuhl Reports 9(10): 61-94 (2019) - 2018
- [j275]Xingsi Xue
Interactive ontology matching based on partial reference alignment. Appl. Soft Comput. 72: 355-370 (2018) - [j274]Tao Chen
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems. ACM Comput. Surv. 51(3): 61:1-61:40 (2018) - [j273]Chao Qian, Yang Yu, Ke Tang, Yaochu Jin
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(2) (2018) - [j272]Ke Li
Integration of Preferences in Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 48(12): 3359-3370 (2018) - [j271]Miqing Li
Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite. IEEE Trans. Evol. Comput. 22(1): 61-78 (2018) - [j270]Peng Yang
Turning High-Dimensional Optimization Into Computationally Expensive Optimization. IEEE Trans. Evol. Comput. 22(1): 143-156 (2018) - [j269]Renzhi Chen, Ke Li
Dynamic Multiobjectives Optimization With a Changing Number of Objectives. IEEE Trans. Evol. Comput. 22(1): 157-171 (2018) - [j268]Xiaofen Lu
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22(2): 173-188 (2018) - [j267]Mang Wang
Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms. IEEE Trans. Evol. Comput. 22(4): 550-563 (2018) - [j266]Ran Cheng
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Trans. Evol. Comput. 22(5): 692-706 (2018) - [j265]Ke Li
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evol. Comput. 22(6): 821-835 (2018) - [j264]Hui Cheng, Xin Yao, Shengxiang Yang
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 1-2 (2018) - [j263]Zhaopin Su, Guofu Zhang
SNR-Constrained Heuristics for Optimizing the Scaling Parameter of Robust Audio Watermarking. IEEE Trans. Multim. 20(10): 2631-2644 (2018) - [j262]Shuo Wang
A Systematic Study of Online Class Imbalance Learning With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4802-4821 (2018) - [j261]Yu Sun
Concept Drift Adaptation by Exploiting Historical Knowledge. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4822-4832 (2018) - [j260]Huanhuan Chen
Semisupervised Negative Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5366-5379 (2018) - [j259]Rodrigo G. F. Soares
Efficient Cluster-Based Boosting for Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5667-5680 (2018) - [j258]Tao Chen
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software. ACM Trans. Softw. Eng. Methodol. 27(2): 5:1-5:50 (2018) - [c270]Chao Qian, Yibo Zhang, Ke Tang, Xin Yao:
On Multiset Selection With Size Constraints. AAAI 2018: 1395-1402 - [c269]Danial Yazdani
Changing or keeping solutions in dynamic optimization problems with switching costs. GECCO 2018: 1095-1102 - [c268]Tao Chen, Miqing Li, Xin Yao
On the effects of seeding strategies: a case for search-based multi-objective service composition. GECCO 2018: 1419-1426 - [c267]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
Analysis of noisy evolutionary optimization when sampling fails. GECCO 2018: 1507-1514 - [c266]Shaolong Shi, Yifan Chen, Xin Yao
Computing-Inspired Detection of Multiple Cancers. ICC 2018: 1-6 - [c265]Miqing Li
A critical review of: "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE. ICSE (NIER) 2018: 17-20 - [c264]Liyan Song
A novel automated approach for software effort estimation based on data augmentation. ESEC/SIGSOFT FSE 2018: 468-479 - [c263]Tao Chen, Rami Bahsoon, Shuo Wang, Xin Yao
To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. ICPE 2018: 48-55 - [i40]Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao:
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions. CoRR abs/1801.00609 (2018) - [i39]Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao:
Evolutionary Generative Adversarial Networks. CoRR abs/1803.00657 (2018) - [i38]Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. CoRR abs/1804.06088 (2018) - [i37]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Multiobjective Test Problems with Degenerate Pareto Fronts. CoRR abs/1806.02706 (2018) - [i36]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of Noisy Evolutionary Optimization When Sampling Fails. CoRR abs/1810.05045 (2018) - [i35]Peng Yang, Ke Tang, Xin Yao:
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. CoRR abs/1812.02500 (2018) - 2017
- [j257]Leandro L. Minku
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models. Autom. Softw. Eng. 24(3): 499-542 (2017) - [j256]Miqing Li
How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum]. IEEE Comput. Intell. Mag. 12(4): 88-100 (2017) - [j255]Song Guo, Victor C. M. Leung, Xin Yao:
Guest Editors Introduction: Intelligence in the Cloud. IEEE Cloud Comput. 4(6): 34-36 (2017) - [j254]Chao Gao, Guanzhou Lu, Xin Yao
An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem. Eur. J. Oper. Res. 260(1): 1-11 (2017) - [j253]Rüstü Akay
Parallel population-based algorithm portfolios: An empirical study. Neurocomputing 247: 115-125 (2017) - [j252]Bo Yuan, Huanhuan Chen, Xin Yao
Optimal relay placement for lifetime maximization in wireless underground sensor networks. Inf. Sci. 418: 463-479 (2017) - [j251]Ying Tan
Preface. Nat. Comput. 16(1): 1-4 (2017) - [j250]Ying Tan
Preface. Nat. Comput. 16(4): 507-509 (2017) - [j249]Handing Wang
Nadir point estimation for many-objective optimization problems based on emphasized critical regions. Soft Comput. 21(9): 2283-2295 (2017) - [j248]Jinhuang Huang
A multi-agent evolutionary algorithm for software module clustering problems. Soft Comput. 21(12): 3415-3428 (2017) - [j247]Handing Wang
Diversity Assessment in Many-Objective Optimization. IEEE Trans. Cybern. 47(6): 1510-1522 (2017) - [j246]Ke Tang
A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Trans. Cybern. 47(11): 3928-3940 (2017) - [j245]Jun He
Average Drift Analysis and Population Scalability. IEEE Trans. Evol. Comput. 21(3): 426-439 (2017) - [j244]Ming Yang
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21(4): 493-505 (2017) - [j243]Mohammad Nabi Omidvar
DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 21(6): 929-942 (2017) - [j242]Rodrigo G. F. Soares, Huanhuan Chen
A Cluster-Based Semisupervised Ensemble for Multiclass Classification. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 408-420 (2017) - [j241]Bingbing Jiang
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model. IEEE Trans. Knowl. Data Eng. 29(12): 2758-2771 (2017) - [j240]Guofu Zhang, Zhaopin Su
Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems. IEEE Trans. Reliab. 66(4): 1193-1212 (2017) - [c262]Ran Cheng
Parallel peaks: A visualization method for benchmark studies of multimodal optimization. CEC 2017: 263-270 - [c261]Junfeng Chen, Mohammad Nabi Omidvar
Knowledge-based particle swarm optimization for PID controller tuning. CEC 2017: 1819-1826 - [c260]Ke Li, Kalyanmoy Deb, Okkes Tolga Altinöz, Xin Yao
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. EMO 2017: 390-405 - [c259]Thuong Pham Thi, Nguyen Xuan Hoai, Xin Yao
Combining conformal prediction and genetic programming for symbolic interval regression. GECCO 2017: 1001-1008 - [c258]Lukas Esterle
The Future of Camera Networks: Staying Smart in a Chaotic World. ICDSC 2017: 163-168 - [c257]I-Ling Yen, Farokh B. Bastani, Yongtao Huang, Yuqun Zhang, Xin Yao
SaaS for Automated Job Performance Appraisals Using Service Technologies and Big Data Analytics. ICWS 2017: 412-419 - [c256]Tingting Yao, Xin Yao
Memetic algorithm with adaptive local search for Capacitated Arc Routing Problem. ITSC 2017: 836-841 - [c255]Liangpeng Zhang, Ke Tang, Xin Yao:
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning. NIPS 2017: 1804-1814 - [c254]Liangli Zhen, Miqing Li
Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL 2017: 224-235 - [c253]Hemant Kumar Singh
Improvement of Reference Points for Decomposition Based Multi-objective Evolutionary Algorithms. SEAL 2017: 284-296 - [c252]Xin Du, Youcong Ni, Xiaobin Wu, Peng Ye, Xin Yao
Surrogate Model Assisted Multi-objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level. SEAL 2017: 334-346 - [c251]Daniel H. Stolfi
Predicting Car Park Occupancy Rates in Smart Cities. Smart-CT 2017: 107-117 - [c250]Yifan Chen, Shaolong Shi, Xin Yao
Touchable computation: Computing-inspired bio-detection. SPAWC 2017: 1-5 - [i34]Ke Li, Kalyanmoy Deb, Xin Yao:
Integration of Preferences in Decomposition Multi-Objective Optimization. CoRR abs/1701.05935 (2017) - [i33]Miqing Li, Xin Yao:
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization. CoRR abs/1702.00477 (2017) - [i32]Yu Sun, Ke Tang, Zexuan Zhu, Xin Yao:
Concept Drift Adaptation by Exploiting Historical Knowledge. CoRR abs/1702.03500 (2017) - [i31]Shuo Wang, Leandro L. Minku, Xin Yao:
A Systematic Study of Online Class Imbalance Learning with Concept Drift. CoRR abs/1703.06683 (2017) - [i30]Shengcai Liu, Ke Tang, Xin Yao:
Experience-based Optimization: A Coevolutionary Approach. CoRR abs/1703.09865 (2017) - [i29]Miqing Li, Liangli Zhen, Xin Yao:
How to Read Many-Objective Solution Sets in Parallel Coordinates. CoRR abs/1705.00368 (2017) - [i28]Liangli Zhen, Dezhong Peng, Xin Yao:
Kernel Truncated Regression Representation for Robust Subspace Clustering. CoRR abs/1705.05108 (2017) - [i27]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - [i26]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). CoRR abs/1707.09425 (2017) - [i25]Miqing Li, Xin Yao:
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation. CoRR abs/1709.02679 (2017) - [i24]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR abs/1711.07214 (2017) - [i23]Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao:
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. CoRR abs/1711.07907 (2017) - [i22]Carola Doerr
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191). Dagstuhl Reports 7(5): 22-55 (2017) - 2016
- [j239]Zhenyu Yang, Bernhard Sendhoff
Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. 48: 672-682 (2016) - [j238]Ke Tang, Peng Yang
Negatively Correlated Search. IEEE J. Sel. Areas Commun. 34(3): 542-550 (2016) - [j237]Yi Mei
On investigation of interdependence between sub-problems of the Travelling Thief Problem. Soft Comput. 20(1): 157-172 (2016) - [j236]Handing Wang
Objective reduction based on nonlinear correlation information entropy. Soft Comput. 20(6): 2393-2407 (2016) - [j235]Pietro A. Consoli
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Comput. 20(10): 3889-3914 (2016) - [j234]Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase
Layered Ensemble Architecture for Time Series Forecasting. IEEE Trans. Cybern. 46(1): 270-283 (2016) - [j233]Ayon Sen, Md. Monirul Islam, Kazuyuki Murase
Binarization With Boosting and Oversampling for Multiclass Classification. IEEE Trans. Cybern. 46(5): 1078-1091 (2016) - [j232]Handing Wang
Regularity Model for Noisy Multiobjective Optimization. IEEE Trans. Cybern. 46(9): 1997-2009 (2016) - [j231]Yuan Yuan
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(1): 16-37 (2016) - [j230]Juan Wang, Ke Tang, José Antonio Lozano, Xin Yao
Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 20(1): 96-109 (2016) - [j229]Yuan Yuan
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers. IEEE Trans. Evol. Comput. 20(2): 180-198 (2016) - [j228]Bing Xue
A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Trans. Evol. Comput. 20(4): 606-626 (2016) - [j227]Shan He
Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. IEEE Trans. Evol. Comput. 20(6): 874-891 (2016) - [j226]Bingdong Li, Ke Tang
Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. IEEE Trans. Evol. Comput. 20(6): 924-938 (2016) - [j225]Yu Sun, Ke Tang, Leandro L. Minku
Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. 28(6): 1532-1545 (2016) - [j224]Yi Mei
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization. ACM Trans. Math. Softw. 42(2): 13:1-13:24 (2016) - [j223]Xiao-Ning Shen, Leandro L. Minku
Dynamic Software Project Scheduling through a Proactive-Rescheduling Method. IEEE Trans. Software Eng. 42(7): 658-686 (2016) - [j222]Bo Yuan, Bin Li, Huanhuan Chen, Xin Yao
Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 24(9): 2813-2826 (2016) - [c249]Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
Search based recommender system using many-objective evolutionary algorithm. CEC 2016: 120-126 - [c248]Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao
A multi-modal optimization approach to single path planning for unmanned aerial vehicle. CEC 2016: 1735-1742 - [c247]Mohammad Nabi Omidvar
CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance. CEC 2016: 3541-3548 - [c246]Mohammad-H. Tayarani-N., Adam Prügel-Bennett, Hongming Xu
Improving the performance of evolutionary engine calibration algorithms with principal component analysis. CEC 2016: 5128-5137 - [c245]Tian Guo, Zhao Xu, Xin Yao
Robust Online Time Series Prediction with Recurrent Neural Networks. DSAA 2016: 816-825 - [c244]Shuo Wang, Leandro L. Minku, Xin Yao:
Dealing with Multiple Classes in Online Class Imbalance Learning. IJCAI 2016: 2118-2124 - [c243]Xiuli Wu, Pietro A. Consoli, Leandro L. Minku
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. PPSN 2016: 37-47 - [c242]Xiaofen Lu, Ke Tang, Xin Yao
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. PPSN 2016: 203-213 - [c241]Ke Li
Variable Interaction in Multi-objective Optimization Problems. PPSN 2016: 399-409 - [p15]Peter R. Lewis, Marco Platzner
Self-aware Computing: Introduction and Motivation. Self-aware Computing Systems 2016: 1-5 - [p14]Peter R. Lewis, Marco Platzner
Conclusions and Outlook. Self-aware Computing Systems 2016: 297-300 - [e13]Peter R. Lewis, Marco Platzner
Self-aware Computing Systems - An Engineering Approach. Natural Computing Series, Springer 2016, ISBN 978-3-319-39674-3 [contents] - [i21]Peng Yang, Ke Tang, Xin Yao:
High-dimensional Black-box Optimization via Divide and Approximate Conquer. CoRR abs/1603.03518 (2016) - [i20]Renzhi Chen, Ke Li, Xin Yao:
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives. CoRR abs/1608.06514 (2016) - [i19]Tao Chen, Ke Li, Rami Bahsoon, Xin Yao:
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime. CoRR abs/1608.08933 (2016) - [i18]Chang Li, Huanhuan Chen, Xin Yao:
Probabilistic Feature Selection and Classification Vector Machine. CoRR abs/1609.05486 (2016) - [i17]Liangpeng Zhang, Ke Tang, Xin Yao:
Success Probability of Exploration: a Concrete Analysis of Learning Efficiency. CoRR abs/1612.00882 (2016) - 2015
- [j221]Lei Cai, Shiru Qu, Yuan Yuan, Xin Yao
A clustering-ranking method for many-objective optimization. Appl. Soft Comput. 35: 681-694 (2015) - [j220]Xin Yao
Big Data Analytics, Data Science and the CIS [President's Message]. IEEE Comput. Intell. Mag. 10(1): 4-5 (2015) - [j219]Xin Yao
Means to an End Is Not the Same as the End Itself [President's Message]. IEEE Comput. Intell. Mag. 10(2): 4 (2015) - [j218]Xin Yao:
Newly Elected CIS Administrative Committee Members (2015-2017) [Society Briefs]. IEEE Comput. Intell. Mag. 10(2): 6-7 (2015) - [j217]Xin Yao
50th Anniversary of Fuzzy Logic [President's Message]. IEEE Comput. Intell. Mag. 10(3): 4 (2015) - [j216]Xin Yao
A Growing Story [President's Message]. IEEE Comput. Intell. Mag. 10(4): 3 (2015) - [j215]Jim Tørresen, Christian Plessl
Self-Aware and Self-Expressive Systems. Computer 48(7): 18-20 (2015) - [j214]Peter R. Lewis
Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering. Computer 48(8): 62-70 (2015) - [j213]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
Many-Objective Evolutionary Algorithms: A Survey. ACM Comput. Surv. 48(1): 13:1-13:35 (2015) - [j212]Chao Gao, Xin Yao
An efficient local search heuristic with row weighting for the unicost set covering problem. Eur. J. Oper. Res. 246(3): 750-761 (2015) - [j211]Shan He, Huanhuan Chen, Zexuan Zhu, Douglas G. Ward
Robust twin boosting for feature selection from high-dimensional omics data with label noise. Inf. Sci. 291: 1-18 (2015) - [j210]Xiao-Ning Shen, Xin Yao
Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems. Inf. Sci. 298: 198-224 (2015) - [j209]Xin Du, Youcong Ni, Datong Xie, Xin Yao
The time complexity analysis of a class of gene expression programming. Soft Comput. 19(6): 1611-1625 (2015) - [j208]Peter R. Lewis
Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks. ACM Trans. Auton. Adapt. Syst. 10(2): 8:1-8:30 (2015) - [j207]Seung-Mok Lee
Cooperative Coevolutionary Algorithm-Based Model Predictive Control Guaranteeing Stability of Multirobot Formation. IEEE Trans. Control. Syst. Technol. 23(1): 37-51 (2015) - [j206]Proteek Chandan Roy, Md. Monirul Islam, Kazuyuki Murase
Evolutionary Path Control Strategy for Solving Many-Objective Optimization Problem. IEEE Trans. Cybern. 45(4): 702-715 (2015) - [j205]Bo Yuan, Bin Li, Huanhuan Chen, Xin Yao
A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem. IEEE Trans. Cybern. 45(5): 1040-1053 (2015) - [j204]Pu Wang, Michael Emmerich
Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Trans. Evol. Comput. 19(2): 188-200 (2015) - [j203]Jun He
On the Easiest and Hardest Fitness Functions. IEEE Trans. Evol. Comput. 19(2): 295-305 (2015) - [j202]Handing Wang
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 19(4): 524-541 (2015) - [j201]Mohammad-H. Tayarani-N., Xin Yao
Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey. IEEE Trans. Evol. Comput. 19(5): 609-629 (2015) - [j200]Haobo Fu, Bernhard Sendhoff
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19(5): 731-745 (2015) - [j199]Wei Fang
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. IEEE Trans. Intell. Transp. Syst. 16(6): 2997-3016 (2015) - [j198]María Pérez-Ortiz
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression. IEEE Trans. Knowl. Data Eng. 27(5): 1233-1245 (2015) - [j197]Shuo Wang, Leandro L. Minku
Resampling-Based Ensemble Methods for Online Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. 27(5): 1356-1368 (2015) - [j196]Xiaoxing Yang
A Learning-to-Rank Approach to Software Defect Prediction. IEEE Trans. Reliab. 64(1): 234-246 (2015) - [c240]Xin Du, Youcong Ni, Peng Ye, Xin Yao
An evolutionary algorithm for performance optimization at software architecture level. CEC 2015: 2129-2136 - [c239]Yi Mei
Heuristic evolution with Genetic Programming for Traveling Thief Problem. CEC 2015: 2753-2760 - [c238]Shengcai Liu, Yufan Wei, Ke Tang, A. Kai Qin
QoS-aware long-term based service composition in cloud computing. CEC 2015: 3362-3369 - [c237]Xin Yao:
Keynote speech I: Co-evolutionary learning in game-playing. CIG 2015: 16 - [c236]Huanhuan Chen, Fengzhen Tang, Peter Tiño, Anthony G. Cohn, Xin Yao:
Model Metric Co-Learning for Time Series Classification. IJCAI 2015: 3387-3394 - [c235]Liangpeng Zhang, Ke Tang, Xin Yao:
Increasingly Cautious Optimism for Practical PAC-MDP Exploration. IJCAI 2015: 4033-4040 - [i16]Tao Chen, Rami Bahsoon, Xin Yao:
Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-Learners Approach. CoRR abs/1504.03961 (2015) - [i15]Ke Tang, Peng Yang, Xin Yao:
Negatively Correlated Cooperative Search. CoRR abs/1504.04914 (2015) - 2014
- [j195]Huanhuan Chen, Peter Tiño
Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space. Comput. Chem. Eng. 67: 33-42 (2014) - [j194]Xin Yao
[President's Message]. IEEE Comput. Intell. Mag. 9(1): 3-18 (2014) - [j193]Xin Yao
[President's Message]. IEEE Comput. Intell. Mag. 9(3): 3 (2014) - [j192]Alexander Lipton, Antoaneta Serguieva, Xin Yao
IEEE CIFEr 2014 - Leading Forum on Computational Finance and Economics Research in Academia and Industry [Conference Reports]. IEEE Comput. Intell. Mag. 9(3): 8-10 (2014) - [j191]Thomas Weise, Raymond Chiong
Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 9(3): 40-52 (2014) - [j190]Joseba Quevedo
Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network. Eng. Appl. Artif. Intell. 30: 18-29 (2014) - [j189]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. 6(1): 22-31 (2014) - [j188]Pu Wang, Ke Tang, Thomas Weise, Edward P. K. Tsang, Xin Yao
Multiobjective genetic programming for maximizing ROC performance. Neurocomputing 125: 102-118 (2014) - [j187]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A new self-adaptation scheme for differential evolution. Neurocomputing 146: 2-16 (2014) - [j186]Andrea Arcuri, Xin Yao
Co-evolutionary automatic programming for software development. Inf. Sci. 259: 412-432 (2014) - [j185]Per Kristian Lehre
Runtime analysis of the (1 + 1) EA on computing unique input output sequences. Inf. Sci. 259: 510-531 (2014) - [j184]Ke Tang, Fei Peng, Guoliang Chen, Xin Yao
Population-based Algorithm Portfolios with automated constituent algorithms selection. Inf. Sci. 279: 94-104 (2014) - [j183]Handing Wang
Corner Sort for Pareto-Based Many-Objective Optimization. IEEE Trans. Cybern. 44(1): 92-102 (2014) - [j182]Jianyong Sun, Qingfu Zhang
Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. IEEE Trans. Cybern. 44(3): 429-444 (2014) - [j181]Thomas Weise, Mingxu Wan, Pu Wang, Ke Tang, Alexandre Devert, Xin Yao
Frequency Fitness Assignment. IEEE Trans. Evol. Comput. 18(2): 226-243 (2014) - [j180]Mohammad Nabi Omidvar
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization. IEEE Trans. Evol. Comput. 18(3): 378-393 (2014) - [j179]Yi Mei
Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 18(3): 435-449 (2014) - [j178]Lin Li, Xin Yao
An Evolutionary Multiobjective Approach to Sparse Reconstruction. IEEE Trans. Evol. Comput. 18(6): 827-845 (2014) - [j177]Bo Yuan, Bin Li, Thomas Weise, Xin Yao
A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures. IEEE Trans. Evol. Comput. 18(6): 846-859 (2014) - [j176]Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data. IEEE Trans. Evol. Comput. 18(6): 893-908 (2014) - [j175]Sukarna Barua, Md. Monirul Islam, Xin Yao
MWMOTE-Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning. IEEE Trans. Knowl. Data Eng. 26(2): 405-425 (2014) - [j174]Huanhuan Chen, Peter Tiño
Learning in the Model Space for Cognitive Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 25(1): 124-136 (2014) - [j173]Huanhuan Chen, Peter Tiño
Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection. IEEE Trans. Neural Networks Learn. Syst. 25(2): 356-369 (2014) - [j172]Lukas Esterle
Socio-economic vision graph generation and handover in distributed smart camera networks. ACM Trans. Sens. Networks 10(2): 20:1-20:24 (2014) - [j171]Leandro L. Minku
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis. IEEE Trans. Software Eng. 40(1): 83-102 (2014) - [c234]Yi Mei
Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2014: 1313-1320 - [c233]Haobo Fu, Peter R. Lewis
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation 2014: 1550-1557 - [c232]Thomas Weise, Mingxu Wan, Ke Tang, Xin Yao
Evolving exact integer algorithms with Genetic Programming. IEEE Congress on Evolutionary Computation 2014: 1816-1823 - [c231]Grant Dick, Xin Yao
Model representation and cooperative coevolution for finite-state machine evolution. IEEE Congress on Evolutionary Computation 2014: 2700-2707 - [c230]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
An improved Two Archive Algorithm for Many-Objective optimization. IEEE Congress on Evolutionary Computation 2014: 2869-2876 - [c229]Nanlin Jin
Heuristic optimization for software project management with impacts of team efficiency. IEEE Congress on Evolutionary Computation 2014: 3016-3023 - [c228]Michalis Mavrovouniotis
Multi-colony ant algorithms for the dynamic travelling salesman problem. CIDUE 2014: 9-16 - [c227]Pietro A. Consoli, Xin Yao:
Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem. EvoCOP 2014: 97-108 - [c226]Renzhi Chen, Peter R. Lewis
Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches. ICES 2014: 101-108 - [c225]Leandro L. Minku
How to make best use of cross-company data in software effort estimation? ICSE 2014: 446-456 - [c224]Shuo Wang, Leandro L. Minku
A multi-objective ensemble method for online class imbalance learning. IJCNN 2014: 3311-3318 - [c223]Liyan Song
The potential benefit of relevance vector machine to software effort estimation. PROMISE 2014: 52-61 - [c222]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL 2014: 82-93 - [c221]Pietro A. Consoli, Leandro L. Minku
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics. SEAL 2014: 359-370 - [c220]Yi Mei
Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem. SEAL 2014: 631-643 - [c219]Tao Chen
Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach. UCC 2014: 327-336 - [c218]Funmilade Faniyi, Peter R. Lewis
Architecting Self-Aware Software Systems. WICSA 2014: 91-94 - [p13]Peter R. Lewis, Funmilade Faniyi, Rami Bahsoon, Xin Yao:
Markets and Clouds: Adaptive and Resilient Computational Resource Allocation Inspired by Economics. Adaptive, Dynamic, and Resilient Systems 2014: 285-318 - [i14]Tao Chen, Funmilade Faniyi, Rami Bahsoon, Peter R. Lewis, Xin Yao, Leandro L. Minku, Lukas Esterle:
The Handbook of Engineering Self-Aware and Self-Expressive Systems. CoRR abs/1409.1793 (2014) - [i13]Hong Mei, Frank Neumann, Xin Yao, Leandro L. Minku:
Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13). NII Shonan Meet. Rep. 2014 (2014) - 2013
- [j170]Shuo Wang, Leandro L. Minku
Online Class Imbalance Learning and its Applications in Fault Detection. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j169]Leandro L. Minku
Ensembles and locality: Insight on improving software effort estimation. Inf. Softw. Technol. 55(8): 1512-1528 (2013) - [j168]Yaochu Jin
A framework for finding robust optimal solutions over time. Memetic Comput. 5(1): 3-18 (2013) - [j167]Francisco Fernández-Navarro
Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. IEEE Trans. Cybern. 43(6): 2228-2240 (2013) - [j166]Peter Tiño
Complex Coevolutionary Dynamics - Structural Stability and Finite Population Effects. IEEE Trans. Evol. Comput. 17(2): 155-164 (2013) - [j165]Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao
Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data. IEEE Trans. Evol. Comput. 17(3): 368-386 (2013) - [j164]Weishan Dong, Tianshi Chen, Peter Tiño
Scaling Up Estimation of Distribution Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 17(6): 797-822 (2013) - [j163]Shuo Wang, Xin Yao
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures. IEEE Trans. Knowl. Data Eng. 25(1): 206-219 (2013) - [j162]Minlong Lin, Ke Tang, Xin Yao
Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification. IEEE Trans. Neural Networks Learn. Syst. 24(4): 647-660 (2013) - [j161]Francisco Fernández-Navarro
Negative Correlation Ensemble Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1836-1849 (2013) - [j160]Leandro L. Minku
Software effort estimation as a multiobjective learning problem. ACM Trans. Softw. Eng. Methodol. 22(4): 35:1-35:32 (2013) - [j159]Shuo Wang, Xin Yao
Using Class Imbalance Learning for Software Defect Prediction. IEEE Trans. Reliab. 62(2): 434-443 (2013) - [c217]Yi Mei
Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method. IEEE Congress on Evolutionary Computation 2013: 1013-1020 - [c216]Arjun Chandra, Richard Allmendinger
Exposing market mechanism design trade-offs via multi-objective evolutionary search. IEEE Congress on Evolutionary Computation 2013: 1515-1522 - [c215]Shuo Wang, Leandro L. Minku
A learning framework for online class imbalance learning. CIEL 2013: 36-45 - [c214]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications 2013: 616-625 - [c213]Xin Yao
Challenges and opportunities in dynamic optimisation. GECCO (Companion) 2013: 1761-1762 - [c212]Rui Wang, Weishan Dong, Yu Wang, Ke Tang, Xin Yao
Pipe failure prediction: A data mining method. ICDE 2013: 1208-1218 - [c211]Yang Yu, Xin Yao, Zhi-Hua Zhou:
On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract. IJCAI 2013: 3190-3194 - [c210]Shuo Wang, Leandro L. Minku
Concept drift detection for online class imbalance learning. IJCNN 2013: 1-10 - [c209]Huanhuan Chen, Fengzhen Tang, Peter Tiño
Model-based kernel for efficient time series analysis. KDD 2013: 392-400 - [c208]Georg Nebehay, Walter Chibamu, Peter R. Lewis
Can Diversity amongst Learners Improve Online Object Tracking? MCS 2013: 212-223 - [c207]Juan Wang, Ke Tang, Xin Yao
A memetic algorithm for uncertain Capacitated Arc Routing Problems. Memetic Computing 2013: 72-79 - [c206]Leandro L. Minku
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation. PROMISE 2013: 8:1-8:10 - [c205]Liyan Song, Leandro L. Minku
The impact of parameter tuning on software effort estimation using learning machines. PROMISE 2013: 9:1-9:10 - [c204]Lukas Esterle
CamSim: A Distributed Smart Camera Network Simulator. SASO Workshops 2013: 19-20 - [c203]Peter R. Lewis
Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks. SASO 2013: 209-218 - [c202]Xin Yao
Some Recent Work on Multi-objective Approaches to Search-Based Software Engineering. SSBSE 2013: 4-15 - [c201]Wei Fang
Re-scheduling in railway networks. UKCI 2013: 342-352 - [p12]Philipp Rohlfshagen, Xin Yao
Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis. Metaheuristics for Dynamic Optimization 2013: 79-97 - [p11]Bahriye Akay, Xin Yao
Recent Advances in Evolutionary Algorithms for Job Shop Scheduling. Automated Scheduling and Planning 2013: 191-224 - [p10]Trung Thanh Nguyen, Xin Yao
Dynamic Time-Linkage Evolutionary Optimization: Definitions and Potential Solutions. Metaheuristics for Dynamic Optimization 2013: 371-395 - [e12]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - [i12]Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao:
Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance. CoRR abs/1303.3145 (2013) - [i11]Jun He, Xin Yao:
Average Drift Analysis and Population Scalability. CoRR abs/1308.3080 (2013) - [i10]Jun He, Feidun He, Xin Yao:
A Unified Markov Chain Approach to Analysing Randomised Search Heuristics. CoRR abs/1312.2368 (2013) - 2012
- [j158]Yang Yu, Xin Yao
On the approximation ability of evolutionary optimization with application to minimum set cover. Artif. Intell. 180-181: 20-33 (2012) - [j157]Mohammad Shafiul Alam
Diversity Guided Evolutionary Programming: A novel approach for continuous optimization. Appl. Soft Comput. 12(6): 1693-1707 (2012) - [j156]Jinzhong Niu, Kai Cai, Simon Parsons, Maria Fasli, Xin Yao
A grey-box approach to automated mechanism design. Electron. Commer. Res. Appl. 11(1): 24-35 (2012) - [j155]James M. Whitacre, Philipp Rohlfshagen, Axel Bender
Evolutionary mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world. Nat. Comput. 11(3): 431-448 (2012) - [j154]Per Kristian Lehre
Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". Theor. Comput. Sci. 425: 2-3 (2012) - [j153]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
A large population size can be unhelpful in evolutionary algorithms. Theor. Comput. Sci. 436: 54-70 (2012) - [j152]Siang Yew Chong
Improving Generalization Performance in Co-Evolutionary Learning. IEEE Trans. Evol. Comput. 16(1): 70-85 (2012) - [j151]Xiaodong Li
Cooperatively Coevolving Particle Swarms for Large Scale Optimization. IEEE Trans. Evol. Comput. 16(2): 210-224 (2012) - [j150]Per Kristian Lehre
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms. IEEE Trans. Evol. Comput. 16(2): 225-241 (2012) - [j149]Trung Thanh Nguyen
Continuous Dynamic Constrained Optimization - The Challenges. IEEE Trans. Evol. Comput. 16(6): 769-786 (2012) - [j148]Leandro L. Minku
DDD: A New Ensemble Approach for Dealing with Concept Drift. IEEE Trans. Knowl. Data Eng. 24(4): 619-633 (2012) - [j147]Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao
Semisupervised Classification With Cluster Regularization. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1779-1792 (2012) - [j146]Jonathan Tate, Benjamin Woolford-Lim, Iain Bate, Xin Yao
Evolutionary and Principled Search Strategies for Sensornet Protocol Optimization. IEEE Trans. Syst. Man Cybern. Part B 42(1): 163-180 (2012) - [j145]Shuo Wang, Xin Yao
Multiclass Imbalance Problems: Analysis and Potential Solutions. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1119-1130 (2012) - [j144]Zhenyu Yang, Xiaoli Li
An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model. IEEE Trans. Syst. Man Cybern. Part C 42(6): 957-969 (2012) - [j143]Xin Yao:
Ubiquity symposium: Evolutionary computation and the processes of life: the essence of evolutionary computation. Ubiquity 2012(September): 2:1-2:8 (2012) - [c200]Haobo Fu, Bernhard Sendhoff
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c199]Bernhard Rinner, Bernhard Dieber, Lukas Esterle
Resource-aware configuration in smart camera networks. CVPR Workshops 2012: 58-65 - [c198]Mark Harman
Dynamic adaptive search based software engineering. ESEM 2012: 1-8 - [c197]Leandro L. Minku
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. GECCO 2012: 1221-1228 - [c196]Francisco Fernández-Navarro
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) 2012: 308-318 - [c195]Lukas Esterle, Bernhard Rinner, Peter R. Lewis, Xin Yao:
Improved adaptivity and robustness in decentralised multi-camera networks. ICDSC 2012: 1-6 - [c194]Xiaoxing Yang, Ke Tang, Xin Yao
A Learning-to-Rank Algorithm for Constructing Defect Prediction Models. IDEAL 2012: 167-175 - [c193]Leandro L. Minku
Using unreliable data for creating more reliable online learners. IJCNN 2012: 1-8 - [c192]Andrea Mambrini, Dirk Sudholt, Xin Yao
Homogeneous and Heterogeneous Island Models for the Set Cover Problem. PPSN (1) 2012: 11-20 - [c191]Qiang Huang
Community Detection Using Cooperative Co-evolutionary Differential Evolution. PPSN (2) 2012: 235-244 - [c190]Michalis Mavrovouniotis
A Benchmark Generator for Dynamic Permutation-Encoded Problems. PPSN (2) 2012: 508-517 - [c189]Leandro L. Minku
Can cross-company data improve performance in software effort estimation? PROMISE 2012: 69-78 - [c188]Xin Yao
Unpacking and Understanding Evolutionary Algorithms. WCCI 2012: 60-76 - [p9]David W. Corne, Kalyanmoy Deb, Joshua D. Knowles
Selected Aspects of Natural Computing. Handbook of Natural Computing 2012: 1737-1801 - [i9]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao:
A Large Population Size Can Be Unhelpful in Evolutionary Algorithms. CoRR abs/1208.2345 (2012) - [i8]Huanhuan Chen, Peter Tiño, Xin Yao, Ali Rodan:
Learning in the Model Space for Fault Diagnosis. CoRR abs/1210.8291 (2012) - 2011
- [j142]Xin Yu, Ke Tang, Xin Yao
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate. Sci. China Inf. Sci. 54(7): 1352-1364 (2011) - [j141]Matteo De Felice
Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes]. IEEE Comput. Intell. Mag. 6(3): 47-56 (2011) - [j140]Per Kristian Lehre
Crossover can be constructive when computing unique input-output sequences. Soft Comput. 15(9): 1675-1687 (2011) - [j139]Philipp Rohlfshagen, Xin Yao
Dynamic combinatorial optimisation problems: an analysis of the subset sum problem. Soft Comput. 15(9): 1723-1734 (2011) - [j138]Zhenyu Yang, Ke Tang, Xin Yao
Scalability of generalized adaptive differential evolution for large-scale continuous optimization. Soft Comput. 15(11): 2141-2155 (2011) - [j137]Yi Mei
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 15(2): 151-165 (2011) - [j136]Kata Praditwong, Mark Harman
Software Module Clustering as a Multi-Objective Search Problem. IEEE Trans. Software Eng. 37(2): 264-282 (2011) - [j135]Lining Xing, Philipp Rohlfshagen, Ying-Wu Chen, Xin Yao
A Hybrid Ant Colony Optimization Algorithm for the Extended Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1110-1123 (2011) - [j134]Mohammad Shafiul Alam
Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1352-1365 (2011) - [j133]Yi Mei
A Memetic Algorithm for Periodic Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1654-1667 (2011) - [c187]Peter R. Lewis
A diversity dilemma in evolutionary markets. ICEC 2011: 29:1-29:10 - [c186]Edward Robinson, Peter McBurney, Xin Yao
Market niching in multi-attribute computational resource allocation systems. ICEC 2011: 32:1-32:10 - [c185]Edward Robinson, Peter McBurney, Xin Yao
Co-learning Segmentation in Marketplaces. ALA 2011: 1-20 - [c184]Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao
A Memetic Genetic Programming with decision tree-based local search for classification problems. IEEE Congress on Evolutionary Computation 2011: 917-924 - [c183]Xiaofen Lu, Ke Tang, Xin Yao
Classification-assisted Differential Evolution for computationally expensive problems. IEEE Congress on Evolutionary Computation 2011: 1986-1993 - [c182]Matteo De Felice
Neural networks ensembles for short-term load forecasting. CIASG 2011: 61-68 - [c181]Marcin Bogdanski, Peter R. Lewis
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations. CISIS 2011: 496-501 - [c180]Guanzhou Lu, Jinlong Li, Xin Yao
Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms. EvoCOP 2011: 108-117 - [c179]Stephan Cathabard, Per Kristian Lehre
Non-uniform mutation rates for problems with unknown solution lengths. FOGA 2011: 173-180 - [c178]Ben Jones, Andrea Soltoggio
Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO 2011: 235-242 - [c177]Mohammad Nabi Omidvar
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. GECCO 2011: 1115-1122 - [c176]Xin Yao:
The Evolution of Evolutionary Computation. ICAIS 2011: 4 - [c175]Lukas Esterle
A socio-economic approach to online vision graph generation and handover in distributed smart camera networks. ICDSC 2011: 1-6 - [c174]Jinlong Li, Guanzhou Lu, Xin Yao
Fitness Landscape-Based Parameter Tuning Method for Evolutionary Algorithms for Computing Unique Input Output Sequences. ICONIP (2) 2011: 453-460 - [c173]Leandro L. Minku
A principled evaluation of ensembles of learning machines for software effort estimation. PROMISE 2011: 9 - [c172]Peter R. Lewis
A Survey of Self-Awareness and Its Application in Computing Systems. SASO Workshops 2011: 102-107 - [p8]Pietro S. Oliveto, Xin Yao:
Runtime Analysis of Evolutionary Algorithms for Discrete Optimization. Theory of Randomized Search Heuristics 2011: 21-52 - [i7]James M. Whitacre, Philipp Rohlfshagen, Axel Bender, Xin Yao:
Evolutionary Mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world. CoRR abs/1101.4103 (2011) - [i6]Tianshi Chen, Yunji Chen, Ke Tang, Guoliang Chen, Xin Yao:
The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization. CoRR abs/1106.0566 (2011) - [i5]Weishan Dong, Tianshi Chen, Peter Tiño, Xin Yao:
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization. CoRR abs/1111.2221 (2011) - 2010
- [j132]Enrico H. Gerding
Market-based control of computational systems: introduction to the special issue. Auton. Agents Multi Agent Syst. 21(2): 109-114 (2010) - [j131]Peter R. Lewis
Resource allocation in decentralised computational systems: an evolutionary market-based approach. Auton. Agents Multi Agent Syst. 21(2): 143-171 (2010) - [j130]Juan Carlos Cuevas-Tello
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application. Pattern Recognit. 43(3): 1165-1179 (2010) - [j129]Tianshi Chen, Jun He
Choosing selection pressure for wide-gap problems. Theor. Comput. Sci. 411(6): 926-934 (2010) - [j128]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Analysis of Computational Time of Simple Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. 14(1): 1-22 (2010) - [j127]Lining Xing, Philipp Rohlfshagen, Ying-Wu Chen, Xin Yao
An Evolutionary Approach to the Multidepot Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 14(3): 356-374 (2010) - [j126]Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
Population-Based Algorithm Portfolios for Numerical Optimization. IEEE Trans. Evol. Comput. 14(5): 782-800 (2010) - [j125]Leandro L. Minku
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift. IEEE Trans. Knowl. Data Eng. 22(5): 730-742 (2010) - [j124]Huanhuan Chen, Xin Yao
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning. IEEE Trans. Knowl. Data Eng. 22(12): 1738-1751 (2010) - [j123]Ping Sun, Xin Yao
Sparse approximation through boosting for learning large scale kernel machines. IEEE Trans. Neural Networks 21(6): 883-894 (2010) - [j122]Zai Wang, Ke Tang, Xin Yao
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems. IEEE Trans. Reliab. 59(3): 563-575 (2010) - [j121]Zai Wang, Ke Tang, Xin Yao
A Memetic Algorithm for Multi-Level Redundancy Allocation. IEEE Trans. Reliab. 59(4): 754-765 (2010) - [c171]Pu Wang, Edward P. K. Tsang, Thomas Weise, Ke Tang, Xin Yao
Using GP to evolve decision rules for classification in financial data sets. IEEE ICCI 2010: 720-727 - [c170]Yi Mei
Capacitated arc routing problem in uncertain environments. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c169]Mohammad Nabi Omidvar
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c168]Mohammad Nabi Omidvar
Cooperative Co-evolution for large scale optimization through more frequent random grouping. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c167]Philipp Rohlfshagen, Xin Yao
On the role of modularity in evolutionary dynamic optimisation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c166]Xin Yu, Yaochu Jin
Robust optimization over time - A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c165]Peter Tiño, Siang Yew Chong, Xin Yao:
On Reliability Of Simulations Of Complex Co-Evolutionary Processes. ECMS 2010: 258-264 - [c164]Arjun Chandra, Pietro Simone Oliveto, Xin Yao:
Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game. EvoApplications (1) 2010: 61-70 - [c163]Xiaofen Lu, Ke Tang, Xin Yao
Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. HAIS (1) 2010: 335-342 - [c162]Shuo Wang, Xin Yao
The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles. ICDM Workshops 2010: 1013-1020 - [c161]Ashfaqur Rahman
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) 2010: 551-558 - [c160]Shuo Wang, Huanhuan Chen, Xin Yao
Negative correlation learning for classification ensembles. IJCNN 2010: 1-8 - [c159]James M. Whitacre, Philipp Rohlfshagen, Axel Bender
The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments. PPSN (1) 2010: 284-293 - [c158]Ben Jones, Yaochu Jin
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. SAB 2010: 587-596 - [i4]Yang Yu, Xin Yao, Zhi-Hua Zhou:
Evolutionary Algorithms as Guaranteed Approximation Optimizers. CoRR abs/1011.4028 (2010) - [i3]Per Kristian Lehre, Xin Yao:
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms. CoRR abs/1012.3098 (2010)
2000 – 2009
- 2009
- [j120]Xin Yao:
IEEE Fellows - Class of 2009 [Society news]. IEEE Comput. Intell. Mag. 4(2): 9-15 (2009) - [j119]Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Leopoldo Carro-Calvo
Improving the performance of evolutionary algorithms in grid-based puzzles resolution. Evol. Intell. 2(4): 169-181 (2009) - [j118]Ke Tang, Xin Yao
From nature to computing and back. Frontiers Comput. Sci. China 3(1): 1-3 (2009) - [j117]Per Kristian Lehre
Runtime analysis of search heuristics on software engineering problems. Frontiers Comput. Sci. China 3(1): 64-72 (2009) - [j116]Ke Tang, Minlong Lin, Fernanda L. Minku, Xin Yao
Selective negative correlation learning approach to incremental learning. Neurocomputing 72(13-15): 2796-2805 (2009) - [j115]Yang Li, Changjun Hu, Xin Yao
Innovative Batik Design with an Interactive Evolutionary Art System. J. Comput. Sci. Technol. 24(6): 1035-1047 (2009) - [j114]Dunwei Gong, Xin Yao, Jie Yuan:
Interactive Genetic Algorithms with Individual Fitness Not Assigned by Human. J. Univers. Comput. Sci. 15(13): 2446-2462 (2009) - [j113]Xin Yu, Ke Tang, Tianshi Chen, Xin Yao
Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memetic Comput. 1(1): 3-24 (2009) - [j112]Fernanda L. Minku, Hirotaka Inoue, Xin Yao
Negative correlation in incremental learning. Nat. Comput. 8(2): 289-320 (2009) - [j111]Siang Yew Chong
Relationship Between Generalization and Diversity in Coevolutionary Learning. IEEE Trans. Comput. Intell. AI Games 1(3): 214-232 (2009) - [j110]Pietro S. Oliveto
Analysis of the (1+1) -EA for Finding Approximate Solutions to Vertex Cover Problems. IEEE Trans. Evol. Comput. 13(5): 1006-1029 (2009) - [j109]Ke Tang, Yi Mei
Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 13(5): 1151-1166 (2009) - [j108]Huanhuan Chen, Peter Tiño
Predictive Ensemble Pruning by Expectation Propagation. IEEE Trans. Knowl. Data Eng. 21(7): 999-1013 (2009) - [j107]Huanhuan Chen, Peter Tiño
Probabilistic Classification Vector Machines. IEEE Trans. Neural Networks 20(6): 901-914 (2009) - [j106]Huanhuan Chen, Xin Yao
Regularized Negative Correlation Learning for Neural Network Ensembles. IEEE Trans. Neural Networks 20(12): 1962-1979 (2009) - [j105]Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, Xin Yao
A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 39(3): 705-722 (2009) - [j104]Yi Mei
A Global Repair Operator for Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 39(3): 723-734 (2009) - [j103]Tianshi Chen, Jun He
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1092-1106 (2009) - [j102]Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, Xin Yao
A New Constructive Algorithm for Architectural and Functional Adaptation of Artificial Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1590-1605 (2009) - [c157]Edward Robinson, Peter McBurney
How Specialised Are Specialists? Generalisation Properties of Entries from the 2008 and 2009 TAC Market Design Competitions. AMEC/TADA 2009: 178-194 - [c156]Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. IEEE Congress on Evolutionary Computation 2009: 102-109 - [c155]Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. IEEE Congress on Evolutionary Computation 2009: 582-589 - [c154]Trung Thanh Nguyen
Benchmarking and solving dynamic constrained problems. IEEE Congress on Evolutionary Computation 2009: 690-697 - [c153]Peter R. Lewis
Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations. IEEE Congress on Evolutionary Computation 2009: 904-910 - [c152]Tapabrata Ray
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning. IEEE Congress on Evolutionary Computation 2009: 983-989 - [c151]Jonathan Tate, Benjamin Woolford-Lim, Iain Bate, Xin Yao
Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocols. IEEE Congress on Evolutionary Computation 2009: 1137-1144 - [c150]Tianshi Chen, Per Kristian Lehre
When is an estimation of distribution algorithm better than an evolutionary algorithm? IEEE Congress on Evolutionary Computation 2009: 1470-1477 - [c149]Xiaodong Li
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms. IEEE Congress on Evolutionary Computation 2009: 1546-1553 - [c148]Yi Mei
Improved memetic algorithm for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2009: 1699-1706 - [c147]Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
Multi-start JADE with knowledge transfer for numerical optimization. IEEE Congress on Evolutionary Computation 2009: 1889-1895 - [c146]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. IEEE Congress on Evolutionary Computation 2009: 2157-2164 - [c145]Ricardo Landa Becerra
An evaluation of Differential Evolution in software test data generation. IEEE Congress on Evolutionary Computation 2009: 2850-2857 - [c144]Hemant K. Singh
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. IEEE Congress on Evolutionary Computation 2009: 3127-3134 - [c143]Shuo Wang, Xin Yao
Diversity analysis on imbalanced data sets by using ensemble models. CIDM 2009: 324-331 - [c142]Ben Jones, Yaochu Jin
The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. ECAL (1) 2009: 18-26 - [c141]Siang Yew Chong, Christopher Hill, Xin Yao:
Co-Evolutionary Learning Of Contextual Asymmetric Actors. ECMS 2009: 827-833 - [c140]Trung Thanh Nguyen
Dynamic Time-Linkage Problems Revisited. EvoWorkshops 2009: 735-744 - [c139]Philipp Rohlfshagen, Xin Yao
The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation. EvoWorkshops 2009: 745-754 - [c138]Per Kristian Lehre
On the impact of the mutation-selection balance on the runtime of evolutionary algorithms. FOGA 2009: 47-58 - [c137]Philipp Rohlfshagen, Per Kristian Lehre
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change. GECCO 2009: 1713-1720 - [c136]Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. ICANN (2) 2009: 185-194 - [c135]Shuo Wang, Xin Yao
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. ICDM Workshops 2009: 76-81 - [c134]Xiaoxing Yang, Ke Tang, Xin Yao
The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. IDEAL 2009: 184-190 - [c133]Fernanda L. Minku, Xin Yao
Using diversity to handle concept drift in on-line learning. IJCNN 2009: 2125-2132 - [c132]Shuo Wang, Ke Tang, Xin Yao
Diversity exploration and negative correlation learning on imbalanced data sets. IJCNN 2009: 3259-3266 - [c131]Vivek Nallur
Self-optimizing architecture for ensuring Quality Attributes in the cloud. WICSA/ECSA 2009: 281-284 - [i2]Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury, Xin Yao, Markus Harva:
Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application. CoRR abs/0908.3706 (2009) - 2008
- [j101]Sancho Salcedo-Sanz, Xin Yao
Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach. Appl. Soft Comput. 8(1): 216-224 (2008) - [j100]Sancho Salcedo-Sanz, José Antonio Portilla-Figueras
Optimal switch location in mobile communication networks using hybrid genetic algorithms. Appl. Soft Comput. 8(4): 1486-1497 (2008) - [j99]Xin Yao
Evolving artificial neural network ensembles. IEEE Comput. Intell. Mag. 3(1): 31-42 (2008) - [j98]Herbert Dawid
Computational intelligence in economic games and policy design [Research Frontier]. IEEE Comput. Intell. Mag. 3(4): 22-26 (2008) - [j97]Xingqi Wang, Thorsten Schnier, Xin Yao
Automatic feature-queried bird identification system based on entropy and fuzzy similarity. Expert Syst. Appl. 34(4): 2879-2884 (2008) - [j96]Xiaodong Li
Theoretical foundations of evolutionary computation. Genet. Program. Evolvable Mach. 9(2): 107-108 (2008) - [j95]Jianyong Sun, Qingfu Zhang
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. Int. J. Comput. Intell. Appl. 7(2): 187-200 (2008) - [j94]Trung Thanh Nguyen
An Experimental Study of Hybridizing Cultural Algorithms and Local Search. Int. J. Neural Syst. 18(1): 1-17 (2008) - [j93]Roberto Gil-Pita
Evolving edited k-Nearest Neighbor Classifiers. Int. J. Neural Syst. 18(6): 459-467 (2008) - [j92]Ke Tang, Xin Yao
Special Issue on "Nature Inspired Problem-Solving". Inf. Sci. 178(15): 2983-2984 (2008) - [j91]Zhenyu Yang, Ke Tang, Xin Yao
Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. 178(15): 2985-2999 (2008) - [j90]Weishan Dong, Xin Yao
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms. Inf. Sci. 178(15): 3000-3023 (2008) - [j89]Andrea Arcuri, Xin Yao
Search based software testing of object-oriented containers. Inf. Sci. 178(15): 3075-3095 (2008) - [j88]Xiaodong Li
Preface. J. Comput. Sci. Technol. 23(1): 1 (2008) - [j87]Xiaoli Li
Neuronal population oscillations of rat hippocampus during epileptic seizures. Neural Networks 21(8): 1105-1111 (2008) - [j86]Siang Yew Chong
Measuring Generalization Performance in Coevolutionary Learning. IEEE Trans. Evol. Comput. 12(4): 479-505 (2008) - [j85]Shengxiang Yang
Population-Based Incremental Learning With Associative Memory for Dynamic Environments. IEEE Trans. Evol. Comput. 12(5): 542-561 (2008) - [j84]Hai Huong Dam, Hussein A. Abbass
Neural-Based Learning Classifier Systems. IEEE Trans. Knowl. Data Eng. 20(1): 26-39 (2008) - [j83]Md. Monirul Islam, Xin Yao
Bagging and Boosting Negatively Correlated Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38(3): 771-784 (2008) - [c130]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. ALIFE 2008: 305-312 - [c129]Andrea Arcuri, Xin Yao
A novel co-evolutionary approach to automatic software bug fixing. IEEE Congress on Evolutionary Computation 2008: 162-168 - [c128]Patrick C. H. Ma, Keith C. C. Chan
An effective evolutionary algorithm for discrete-valued data clustering. IEEE Congress on Evolutionary Computation 2008: 210-216 - [c127]Zhenyu Yang, Ke Tang, Xin Yao
Self-adaptive differential evolution with neighborhood search. IEEE Congress on Evolutionary Computation 2008: 1110-1116 - [c126]Xin Yu, Ke Tang, Xin Yao
An immigrants scheme based on environmental information for genetic algorithms in changing environments. IEEE Congress on Evolutionary Computation 2008: 1141-1147 - [c125]Zai Wang, Ke Tang, Xin Yao
A multi-objective approach to testing resource allocation in modular software systems. IEEE Congress on Evolutionary Computation 2008: 1148-1153 - [c124]Weishan Dong, Xin Yao
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization. IEEE Congress on Evolutionary Computation 2008: 1260-1267 - [c123]Pietro S. Oliveto
Analysis of population-based evolutionary algorithms for the vertex cover problem. IEEE Congress on Evolutionary Computation 2008: 1563-1570 - [c122]Zhenyu Yang, Ke Tang, Xin Yao
Multilevel cooperative coevolution for large scale optimization. IEEE Congress on Evolutionary Computation 2008: 1663-1670 - [c121]Cara MacNish, Xin Yao
Direction matters in high-dimensional optimisation. IEEE Congress on Evolutionary Computation 2008: 2372-2379 - [c120]Neale Samways, Yaochu Jin
Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation 2008: 2569-2576 - [c119]Ben Jones, Yaochu Jin
Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) 2008: 216-223 - [c118]Andrea Arcuri, Per Kristian Lehre
Theoretical Runtime Analyses of Search Algorithms on the Test Data Generation for the Triangle Classification Problem. ICST Workshops 2008: 161-169 - [c117]Ramón Sagarna, Xin Yao
Handling Constraints for Search Based Software Test Data Generation. ICST Workshops 2008: 232-240 - [c116]Ramón Sagarna, Xin Yao:
Search-Based Testing of Complex Simulink Models containing Stateflow Diagrams. ICST Workshops 2008: 251 - [c115]Fernanda L. Minku, Xin Yao
On-line bagging Negative Correlation Learning. IJCNN 2008: 1374-1381 - [c114]Minlong Lin, Ke Tang, Xin Yao
Selective negative correlation learning algorithm for incremental learning. IJCNN 2008: 2525-2530 - [c113]Guangming Lin, Xin Lu, Yongsheng Liang, Lishan Kang, Xin Yao
A Self-adaptive Evolutionary Programming Based on Optimum Search Direction. ISICA 2008: 9-18 - [c112]Peter R. Lewis
Evolutionary Market Agents for Resource Allocation in Decentralised Systems. PPSN 2008: 1071-1080 - [c111]Andrea Arcuri, David Robert White, John A. Clark, Xin Yao
Multi-objective Improvement of Software Using Co-evolution and Smart Seeding. SEAL 2008: 61-70 - [c110]Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras
Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm. SEAL 2008: 360-369 - [c109]Philipp Rohlfshagen, Xin Yao
Attributes of Dynamic Combinatorial Optimisation. SEAL 2008: 442-451 - [c108]Per Kristian Lehre
Crossover Can Be Constructive When Computing Unique Input Output Sequences. SEAL 2008: 595-604 - [p7]Zhenyu Yang, Xin Yao, Jingsong He:
Making a Difference to Differential Evolution. Advances in Metaheuristics for Hard Optimization 2008: 397-414 - [p6]Derek Bartram, Michael Burrow
A Computational Intelligence Approach to Railway Track Intervention Planning. Evolutionary Computation in Practice 2008: 163-198 - [p5]Md. Monirul Islam, Xin Yao
Evolving Artificial Neural Network Ensembles. Computational Intelligence: A Compendium 2008: 851-880 - [i1]Jun He, Yuren Zhou, Xin Yao:
A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem. Theory of Evolutionary Algorithms 2008 - 2007
- [b1]Graham Kendall, Xin Yao, Siang Yew Chong:
The Iterated Prisoners' Dilemma - 20 Years On. Advances in Natural Computation 4, World Scientific 2007, ISBN 978-981-270-697-3, pp. 1-272 - [j82]Xiaoli Li
A wavelet-based data pre-processing analysis approach in mass spectrometry. Comput. Biol. Medicine 37(4): 509-516 (2007) - [j81]Xiaodong Li, Wenjian Luo, Xin Yao:
Special Issue on Evolutionary Learning and Optimisation. Connect. Sci. 19(4): 279-280 (2007) - [j80]Jingsong He, Xin Yao
A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware. Connect. Sci. 19(4): 281-295 (2007) - [j79]Jun He
A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability. Evol. Comput. 15(4): 435-443 (2007) - [j78]Pietro S. Oliveto
Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results. Int. J. Autom. Comput. 4(3): 281-293 (2007) - [j77]Sancho Salcedo-Sanz, José Antonio Portilla-Figueras
Teaching Advanced Features of Evolutionary Algorithms Using Japanese Puzzles. IEEE Trans. Educ. 50(2): 151-156 (2007) - [j76]Xin Yao:
In Memoriam: Dr. Lawrence J. Fogel. IEEE Trans. Evol. Comput. 11(3): 289-289 (2007) - [j75]Siang Yew Chong
Multiple Choices and Reputation in Multiagent Interactions. IEEE Trans. Evol. Comput. 11(6): 689-711 (2007) - [j74]Maolin Tang
A Memetic Algorithm for VLSI Floorplanning. IEEE Trans. Syst. Man Cybern. Part B 37(1): 62-69 (2007) - [j73]Sancho Salcedo-Sanz, Fernando Cruz-Roldán
Evolutionary Design of Digital Filters With Application to Subband Coding and Data Transmission. IEEE Trans. Signal Process. 55(4): 1193-1203 (2007) - [c107]Weishan Dong, Xin Yao
Covariance matrix repairing in Gaussian based EDAs. IEEE Congress on Evolutionary Computation 2007: 415-422 - [c106]Ramón Sagarna, Andrea Arcuri, Xin Yao
Estimation of distribution algorithms for testing object oriented software. IEEE Congress on Evolutionary Computation 2007: 438-444 - [c105]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
On the analysis of average time complexity of estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2007: 453-460 - [c104]T. S. Ellis, Xin Yao
Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach. IEEE Congress on Evolutionary Computation 2007: 736-743 - [c103]Huanhuan Chen, Xin Yao
Evolutionary random neural ensembles based on negative correlation learning. IEEE Congress on Evolutionary Computation 2007: 1468-1474 - [c102]Jingsong He, Zhenyu Yang, Xin Yao
Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation. IEEE Congress on Evolutionary Computation 2007: 1693-1700 - [c101]Pietro S. Oliveto
Evolutionary algorithms and the Vertex Cover problem. IEEE Congress on Evolutionary Computation 2007: 1870-1877 - [c100]Per Kristian Lehre
Runtime analysis of (1+l) EA on computing unique input output sequences. IEEE Congress on Evolutionary Computation 2007: 1882-1889 - [c99]Pan Zhang, Xin Yao
Target shape design optimization by evolving splines. IEEE Congress on Evolutionary Computation 2007: 2009-2016 - [c98]Andrea Arcuri, Xin Yao
A Memetic Algorithm for test data generation of Object-Oriented software. IEEE Congress on Evolutionary Computation 2007: 2048-2055 - [c97]Zhenyu Yang, Ke Tang, Xin Yao
Differential evolution for high-dimensional function optimization. IEEE Congress on Evolutionary Computation 2007: 3523-3530 - [c96]Kata Praditwong, Xin Yao
How well do multi-objective evolutionary algorithms scale to large problems. IEEE Congress on Evolutionary Computation 2007: 3959-3966 - [c95]Sancho Salcedo-Sanz, Emilio G. Ortíz-García, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras
Solving Japanese Puzzles with Heuristics. CIG 2007: 224-231 - [c94]Huanhuan Chen, Xin Yao:
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity. ICIC (2) 2007: 1162-1171 - [c93]Yoshiyuki Matsumura, Masashi Oiso, Masaki Matsuda, Noriyuki Fujimoto, Kenichi Hagihara, Kazuhiro Ohkura, Jeremy L. Wyatt
Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. ICNC (4) 2007: 223-227 - [c92]Roberto Gil-Pita, Xin Yao:
Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers. IDEAL 2007: 1141-1150 - [c91]Andrea Arcuri, Xin Yao
Coevolving programs and unit tests from their specification. ASE 2007: 397-400 - [p4]Ping Sun, Xin Yao
A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression. Trends in Neural Computation 2007: 241-263 - [p3]Hisashi Handa
Robust Salting Route Optimization Using Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 497-517 - [e11]Hujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings. Lecture Notes in Computer Science 4881, Springer 2007, ISBN 978-3-540-77225-5 [contents] - 2006
- [j72]E. Ke Tang, Ponnuthurai N. Suganthan
Gene selection algorithms for microarray data based on least squares support vector machine. BMC Bioinform. 7: 95 (2006) - [j71]Hisashi Handa
Robust route optimization for gritting/salting trucks: a CERCIA experience. IEEE Comput. Intell. Mag. 1(1): 6-9 (2006) - [j70]Xin Yao
A research-led and industry-oriented MSc program in natural computation. IEEE Comput. Intell. Mag. 1(1): 39-40 (2006) - [j69]Bernhard Sendhoff
Evolutionary computation benchmarking repository [Developmental Tools]. IEEE Comput. Intell. Mag. 1(4): 50-60 (2006) - [j68]Sancho Salcedo-Sanz, Yong Xu, Xin Yao
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems. Comput. Oper. Res. 33: 820-835 (2006) - [j67]Xin Yao
Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecol. Informatics 1(1): 9-22 (2006) - [j66]Vineet R. Khare, Xin Yao
Multi-network evolutionary systems and automatic decomposition of complex problems. Int. J. Gen. Syst. 35(3): 259-274 (2006) - [j65]Arjun Chandra, Xin Yao
Evolving hybrid ensembles of learning machines for better generalisation. Neurocomputing 69(7-9): 686-700 (2006) - [j64]Xin Yao
Recent Advances in Evolutionary Computation. J. Comput. Sci. Technol. 21(1): 1-18 (2006) - [j63]Arjun Chandra, Xin Yao
Ensemble Learning Using Multi-Objective Evolutionary Algorithms. J. Math. Model. Algorithms 5(4): 417-445 (2006) - [j62]Jiang Tian, Richard Foley, Xin Yao
An extended contract net mechanism for dynamic supply chain formation and its application in China petroleum supply chain management. Multiagent Grid Syst. 2(2): 183-207 (2006) - [j61]E. Ke Tang, Ponnuthurai N. Suganthan
An analysis of diversity measures. Mach. Learn. 65(1): 247-271 (2006) - [j60]Patrick C. H. Ma, Keith C. C. Chan
An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Trans. Evol. Comput. 10(3): 296-314 (2006) - [c90]Yong Xu, Xin Yao
A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences. CCNC 2006: 127-131 - [c89]Jun He, Xin Yao:
Analysis of Scalable Parallel Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 120-127 - [c88]Huanhuan Chen, Xin Yao:
Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection. IEEE Congress on Evolutionary Computation 2006: 267-274 - [c87]Alireza Nazemi, Xin Yao, Andrew H. Chan:
Extracting a Set of Robust Pareto-Optimal Parameters for Hydrologic Models using NSGA-II and SCEM. IEEE Congress on Evolutionary Computation 2006: 1901-1908 - [c86]Hisashi Handa, Dan Lin, Lee Chapman, Xin Yao:
Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 3098-3105 - [c85]Yong Liu, Xin Yao:
Evolving Neural Network Ensembles by Fitness Sharing. IEEE Congress on Evolutionary Computation 2006: 3289-3293 - [c84]Pete Duell, Iris Fermin, Xin Yao:
Speciation Techniques in Evolved Ensembles with Negative Correlation Learning. IEEE Congress on Evolutionary Computation 2006: 3317-3321 - [c83]Siang Yew Chong
Self-Adapting Payoff Matrices in Repeated Interactions. CIG 2006: 103-110 - [c82]Kata Praditwong, Xin Yao:
A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm. CIS 2006: 95-104 - [c81]Pete Duell, Iris Fermin, Xin Yao:
Diversity creation in local search for the evolution of neural network ensembles. ESANN 2006: 431-436 - [c80]Ping Sun, Xin Yao:
Efficient Forward Regression with Marginal Likelihood. ESANN 2006: 485-490 - [c79]Ping Sun, Xin Yao
Boosting Kernel Models for Regression. ICDM 2006: 583-591 - [c78]Huanhuan Chen, Peter Tiño, Xin Yao:
A Probabilistic Ensemble Pruning Algorithm. ICDM Workshops 2006: 878-882 - [c77]Yong Liu, Xin Yao:
Make Fast Evolutionary Programming Robust by Search Step Control. ICNC (1) 2006: 806-815 - [c76]Trung Thanh Nguyen, Xin Yao:
Hybridizing Cultural Algorithms and Local Search. IDEAL 2006: 586-594 - [c75]Ping Sun, Xin Yao:
Greedy forward selection algorithms to Sparse Gaussian Process Regression. IJCNN 2006: 159-165 - [c74]Vineet R. Khare, Bernhard Sendhoff, Xin Yao:
Environments Conducive to Evolution of Modularity. PPSN 2006: 603-612 - [c73]Jingsong He, Zhenyu Yang, Xin Yao:
Hybridisation of Particle Swarm Optimization and Fast Evolutionary Programming. SEAL 2006: 392-399 - [c72]Jingsong He, Xin Yao, Jian Tang:
Towards Intrinsic Evolvable Hardware for Predictive Lossless Image Compression. SEAL 2006: 632-639 - [c71]Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao:
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. SEAL 2006: 905-912 - [p2]Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao:
Introduction to Evolvable Hardware. Evolvable Hardware 2006: 1-17 - [p1]Arjun Chandra, Huanhuan Chen, Xin Yao:
Trade-Off Between Diversity and Accuracy in Ensemble Generation. Multi-Objective Machine Learning 2006: 429-464 - [e10]Tetsuya Higuchi, Yong Liu, Xin Yao:
Evolvable Hardware. Genetic and Evolutionary Computation, Springer 2006, ISBN 978-0-387-24386-3 [contents] - [e9]Thomas Philip Runarsson, Hans-Georg Beyer
Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Procedings. Lecture Notes in Computer Science 4193, Springer 2006, ISBN 3-540-38990-3 [contents] - [e8]Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao:
Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings. Lecture Notes in Computer Science 4247, Springer 2006, ISBN 3-540-47331-9 [contents] - 2005
- [j59]Sancho Salcedo-Sanz, Yong Xu, Xin Yao
Meta-Heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions. Genet. Program. Evolvable Mach. 6(4): 359-379 (2005) - [j58]Yong Xu, Sancho Salcedo-Sanz, Xin Yao:
Editorial. Int. J. Comput. Intell. Appl. 5(2) (2005) - [j57]Yong Xu, Sancho Salcedo-Sanz, Xin Yao:
Metaheuristic Approaches to Traffic Grooming in Wdm Optical Networks. Int. J. Comput. Intell. Appl. 5(2): 231-250 (2005) - [j56]Gavin Brown, Jeremy L. Wyatt
Diversity creation methods: a survey and categorisation. Inf. Fusion 6(1): 5-20 (2005) - [j55]E. Ke Tang, Ponnuthurai N. Suganthan
Linear dimensionality reduction using relevance weighted LDA. Pattern Recognit. 38(4): 485-493 (2005) - [j54]Shengxiang Yang
Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Comput. 9(11): 815-834 (2005) - [j53]Siang Yew Chong
Behavioral diversity, choices and noise in the iterated prisoner's dilemma. IEEE Trans. Evol. Comput. 9(6): 540-551 (2005) - [j52]Xiaoli Li
Multi-scale statistical process monitoring in machining. IEEE Trans. Ind. Electron. 52(3): 924-927 (2005) - [j51]Qiang Lu, Xin Yao
Clustering and learning Gaussian distribution for continuous optimization. IEEE Trans. Syst. Man Cybern. Part C 35(2): 195-204 (2005) - [j50]Thomas Philip Runarsson
Search biases in constrained evolutionary optimization. IEEE Trans. Syst. Man Cybern. Part C 35(2): 233-243 (2005) - [j49]Jun He
A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. IEEE Trans. Syst. Man Cybern. Part C 35(2): 266-271 (2005) - [c70]Hisashi Handa, Lee Chapman, Xin Yao:
Dynamic salting route optimisation using evolutionary computation. Congress on Evolutionary Computation 2005: 158-165 - [c69]Jin Li, Xiaoli Li, Xin Yao:
Cost-sensitive classification with genetic programming. Congress on Evolutionary Computation 2005: 2114-2121 - [c68]Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing:
Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation 2005: 2691-2698 - [c67]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. CIBCB 2005: 9-16 - [c66]Arjun Chandra, Xin Yao:
Evolutionary framework for the construction of diverse hybrid ensembles. ESANN 2005: 253-258 - [c65]Xiaoli Li, Xin Yao:
Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals. FSKD (1) 2005: 645-652 - [c64]Jun He
A Game-Theoretic Approach for Designing Mixed Mutation Strategies. ICNC (3) 2005: 279-288 - 2004
- [j48]Xin Yao, Yong Liu:
Evolving Neural Network Ensembles by Minimization of Mutual Information. Int. J. Hybrid Intell. Syst. 1(1): 12-21 (2004) - [j47]Jun He
Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching. J. Comput. Sci. Technol. 19(4): 450-458 (2004) - [j46]Jun He
A study of drift analysis for estimating computation time of evolutionary algorithms. Nat. Comput. 3(1): 21-35 (2004) - [j45]Thorsten Schnier, Xin Yao
Digital filter design using multiple pareto fronts. Soft Comput. 8(5): 332-343 (2004) - [j44]Chang-Yong Lee, Xin Yao
Evolutionary programming using mutations based on the Levy probability distribution. IEEE Trans. Evol. Comput. 8(1): 1-13 (2004) - [j43]Sancho Salcedo-Sanz, Xin Yao
A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2343-2353 (2004) - [c63]Siang Yew Chong, Xin Yao:
The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation. IEEE Congress on Evolutionary Computation 2004: 348-355 - [c62]Jun He, Xin Yao, Qingfu Zhang:
To understand one-dimensional continuous fitness landscapes by drift analysis. IEEE Congress on Evolutionary Computation 2004: 1248-1253 - [c61]Shisanu Tongchim, Xin Yao:
Parallel evolutionary programming. IEEE Congress on Evolutionary Computation 2004: 1362-1367 - [c60]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Generalized LDA using relevance weighting and evolution strategy. IEEE Congress on Evolutionary Computation 2004: 2230-2234 - [c59]Yong Xu, Sancho Salcedo-Sanz, Xin Yao:
Non-standard cost terminal assignment problems using tabu search approach. IEEE Congress on Evolutionary Computation 2004: 2302-2306 - [c58]Xin Yao:
How powerful is your evolutionary, algorithm? IEEE Congress on Evolutionary Computation 2004 - [c57]Peng Zou, Zhi Zhou, Guoliang Chen, Xin Yao:
A novel memetic algorithm with random multi-local-search: a case study of TSP. IEEE Congress on Evolutionary Computation 2004: 2335-2340 - [c56]E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Nonlinear Feature Extraction Using Evolutionary Algorithm. ICONIP 2004: 1014-1019 - [c55]Zhenyu Wang, Xin Yao, Yong Xu:
An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses. IDEAL 2004: 572-577 - [c54]Arjun Chandra, Xin Yao:
DIVACE: Diverse and Accurate Ensemble Learning Algorithm. IDEAL 2004: 619-625 - [c53]Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies. PPSN 2004: 591-601 - [c52]Vineet R. Khare, Xin Yao, Bernhard Sendhoff:
Credit Assignment Among Neurons in Co-evolving Populations. PPSN 2004: 882-891 - [e7]Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós
Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0 [contents] - [e6]Kay Chen Tan, Meng-Hiot Lim, Xin Yao, Lipo Wang:
Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 2002, 18-22 November 2002, Singapore]. Advances in Natural Computation 2, World Scientific 2004, ISBN 978-981-238-952-7 [contents] - 2003
- [j42]Jun He
Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artif. Intell. 145(1-2): 59-97 (2003) - [j41]Wai-Ho Au, Keith C. C. Chan, Xin Yao
A novel evolutionary data mining algorithm with applications to churn prediction. IEEE Trans. Evol. Comput. 7(6): 532-545 (2003) - [j40]Md. Monirul Islam, Xin Yao
A constructive algorithm for training cooperative neural network ensembles. IEEE Trans. Neural Networks 14(4): 820-834 (2003) - [j39]Jeffrey Xu Yu, Xin Yao
Materialized view selection as constrained evolutionary optimization. IEEE Trans. Syst. Man Cybern. Part C 33(4): 458-467 (2003) - [c51]Thomas Philip Runarsson
Evolutionary search and constraint violations. IEEE Congress on Evolutionary Computation 2003: 1414-1419 - [c50]Jun He, Xin Yao
An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems. IEEE Congress on Evolutionary Computation 2003: 2004-2010 - [c49]Vineet R. Khare, Xin Yao, Kalyanmoy Deb:
Performance Scaling of Multi-objective Evolutionary Algorithms. EMO 2003: 376-390 - [c48]Thorsten Schnier, Xin Yao:
Using Negative Correlation to Evolve Fault-Tolerant Circuits. ICES 2003: 35-46 - [c47]Xin Yao:
Adaptive Divide-and-Conquer Using Populations and Ensembles. ICMLA 2003: 13-20 - [c46]Xin Yao:
The Evolution of Evolutionary Computation. KES 2003: 19-20 - [c45]Yong Liu, Xin Yao:
Optimisation and Learning in Neural Network Learning. Modelling, Simulation, and Optimization 2003: 167-172 - 2002
- [j38]Jun He
Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85]. Artif. Intell. 140(1/2): 245-248 (2002) - [j37]Ko-Hsin Liang, Xin Yao
A new evolutionary approach to cutting stock problems with and without contiguity. Comput. Oper. Res. 29(12): 1641-1659 (2002) - [j36]Paul J. Darwen, Xin Yao:
Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense. Int. J. Comput. Intell. Appl. 2(1): 83-107 (2002) - [j35]Jun He
From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. IEEE Trans. Evol. Comput. 6(5): 495-511 (2002) - [c44]Thomas Philip Runarsson
Continuous selection and self-adaptive evolution strategies. IEEE Congress on Evolutionary Computation 2002: 279-284 - [c43]Yong Liu, Xin Yao
How to control search step size in fast evolutionary programming. IEEE Congress on Evolutionary Computation 2002: 652-656 - [c42]Xin Yao
Getting Most Out of Evolutionary Approaches. Evolvable Hardware 2002: 8-16 - [c41]Yong Liu, Xin Yao:
Search Step Size Control In Fast Evolutionary Programming. GECCO 2002: 225 - [c40]Yong Liu, Xin Yao:
Maintaining Population Diversity By Minimizing Mutual Information. GECCO 2002: 448-455 - [c39]Majid Salim, Xin Yao:
Evolving SQL Queries for Data Mining. IDEAL 2002: 62-67 - [c38]Yong Liu, Xin Yao:
Learning and Evolution by Minimization of Mutual Information. PPSN 2002: 495-504 - [c37]Vineet R. Khare, Xin Yao:
Automatic Modularization with Speciated Neural Network Ensemble. SEAL 2002: 268-283 - [e5]Lipo Wang, Saman K. Halgamuge, Xin Yao:
FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, 2 Volumes, November 18-22, 2002, Orchid Country Club, Singapore. 2002, ISBN 981-04-7520-9 [contents] - 2001
- [j34]Jun He
Drift analysis and average time complexity of evolutionary algorithms. Artif. Intell. 127(1): 57-85 (2001) - [j33]Xin Yao
Simulated Evolution and Learning: An Introduction. Appl. Intell. 15(3): 151-152 (2001) - [j32]Ko-Hsin Liang, Xin Yao
Adapting Self-Adaptive Parameters in Evolutionary Algorithms. Appl. Intell. 15(3): 171-180 (2001) - [j31]Chuan Zhang, Xin Yao
An evolutionary approach to materialized views selection in a data warehouse environment. IEEE Trans. Syst. Man Cybern. Part C 31(3): 282-294 (2001) - [c36]Yong Liu, Xin Yao:
Evolving neural networks for Hang Seng stock index forecast. CEC 2001: 256-260 - [c35]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Evolving a cooperative population of neural networks by minimizing mutual information. CEC 2001: 384-389 - [c34]Chang-Yong Lee, Xin Yao:
Evolutionary algorithms with adaptive Levy mutations. CEC 2001: 568-575 - [c33]Paul J. Darwen, Xin Yao:
Why more choices cause less cooperation in iterated prisoner's dilemma. CEC 2001: 987-994 - [c32]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Scaling up fast evolutionary programming with cooperative coevolution. CEC 2001: 1101-1108 - [c31]Thorsten Schnier, Xin Yao
Digital Filter Design Using Multiple Pareto Fronts. Evolvable Hardware 2001: 136-145 - [c30]Thorsten Schnier, Xin Yao:
Evolutionary Design Calibration. ICES 2001: 26-37 - 2000
- [j30]Xin Yao:
Editorial: Simulated Evolution and Learning. J. Adv. Comput. Intell. Intell. Informatics 4(2): 129 (2000) - [j29]Hongxing He, Simon Hawkins, Warwick Graco, Xin Yao:
Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem. J. Adv. Comput. Intell. Intell. Informatics 4(2): 130-137 (2000) - [j28]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao:
The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma. Knowl. Inf. Syst. 2(4): 461-478 (2000) - [j27]Thomas Philip Runarsson
Stochastic ranking for constrained evolutionary optimization. IEEE Trans. Evol. Comput. 4(3): 284-294 (2000) - [j26]Jun He
Solving equations by hybrid evolutionary computation techniques. IEEE Trans. Evol. Comput. 4(3): 295-304 (2000) - [j25]Yong Liu, Xin Yao
Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 4(4): 380-387 (2000) - [c29]T. Schnier, Xin Yao
Using multiple representations in evolutionary algorithms. CEC 2000: 479-486 - [c28]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao:
Exploiting coalition in co-evolutionary learning. CEC 2000: 1268-1275 - [e4]Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan Julián Merelo Guervós
Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, September 18-20, 2000, Proceedings. Lecture Notes in Computer Science 1917, Springer 2000, ISBN 3-540-41056-2 [contents]
1990 – 1999
- 1999
- [j24]Yong Liu, Xin Yao:
Negatively correlated neural networks for classification. Artif. Life Robotics 3(4): 255-259 (1999) - [j23]Xin Yao
Following the Path of Evolvable Hardware - Introduction. Commun. ACM 42(4): 46-49 (1999) - [j22]Xin Yao
Evolutionary computation comes of age. Cogn. Syst. Res. 1(1): 59-64 (1999) - [j21]Yong Liu, Xin Yao
Ensemble learning via negative correlation. Neural Networks 12(10): 1399-1404 (1999) - [j20]Xin Yao
Evolving artificial neural networks. Proc. IEEE 87(9): 1423-1447 (1999) - [j19]Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani
The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing. IEEE Trans. Computers 48(6): 628-639 (1999) - [j18]Xin Yao
Evolutionary programming made faster. IEEE Trans. Evol. Comput. 3(2): 82-102 (1999) - [j17]Xin Yao
Promises and challenges of evolvable hardware. IEEE Trans. Syst. Man Cybern. Part C 29(1): 87-97 (1999) - [j16]Yong Liu, Xin Yao
Simultaneous training of negatively correlated neural networks in an ensemble. IEEE Trans. Syst. Man Cybern. Part B 29(6): 716-725 (1999) - [c27]Chuan Zhang, Xin Yao
Evolving materialized views in data warehouse. CEC 1999: 823-829 - [c26]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao
Emergence of cooperative coalition in NIPD game with localization of interaction and learning. CEC 1999: 877-884 - [c25]Ko-Hsin Liang, Xin Yao
Combining landscape approximation and local search in global optimization. CEC 1999: 1514-1520 - [c24]Xin Yao
How does evolutionary computation fit into IT postgraduate teaching. CEC 1999: 1707-1716 - [c23]Xin Yao
Neural networks for breast cancer diagnosis. CEC 1999: 1760-1767 - [e3]Bob McKay
Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27 1998, Selected Papers. Lecture Notes in Computer Science 1585, Springer 1999, ISBN 3-540-65907-2 [contents] - 1998
- [j15]Xin Yao, Don Potter:
Introduction: Evolutionary Learning. Appl. Intell. 8(1): 5 (1998) - [j14]Xinghuo Yu, Weixing Zheng, Baolin Wu, Xin Yao:
A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 2(6): 208-213 (1998) - [j13]Xin Yao
Maximum Matching on Boltzmann Machines. Neural Process. Lett. 7(1): 49-53 (1998) - [j12]Xin Yao
Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man Cybern. Part B 28(3): 417-425 (1998) - [c22]Xin Yao, Yong Liu:
Scaling Up Evolutionary Programming Algorithms. Evolutionary Programming 1998: 103-112 - [c21]Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman:
An Experimental Investigation of Self-Adaptation in Evolutionary Programming. Evolutionary Programming 1998: 291-300 - [c20]Ko-Hsin Liang, Xin Yao, Charles S. Newton, David Hoffman:
Solving Cutting Stock Problems by Evolutionary Programming. Evolutionary Programming 1998: 755-764 - [c19]Yong Liu, Xin Yao:
Towards Designing Neural Network Ensembles by Evolution. PPSN 1998: 623-632 - [c18]Ko-Hsin Liang, Xin Yao, Charles S. Newton:
Dynamic Control of Adaptive Parameters in Evolutionary Programming. SEAL 1998: 42-49 - [c17]Hongxing He, Warwick Graco, Xin Yao:
Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection. SEAL 1998: 74-81 - [c16]Yong Liu, Xin Yao:
Time Series Prediction by Using Negatively Correlated Neural Networks. SEAL 1998: 333-340 - 1997
- [j11]Paul J. Darwen
Speciation as automatic categorical modularization. IEEE Trans. Evol. Comput. 1(2): 101-108 (1997) - [j10]Xin Yao
A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Networks 8(3): 694-713 (1997) - [c15]Gerrit Riessen, Graham J. Williams, Xin Yao:
PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. Evolutionary Programming 1997: 35-46 - [c14]Xin Yao, Yong Liu:
Fast Evolution Strategies. Evolutionary Programming 1997: 151-162 - [c13]Xin Yao, Guangming Lin, Yong Liu:
An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes. Evolutionary Programming 1997: 297-307 - [c12]Xinghuo Yu, Weixing Zheng, Baolin Wu, Xin Yao:
Solving Constrained Optimization Problems with New Penalty Function Approach Using Genetic Algorithms. ICONIP (1) 1997: 416-419 - [e2]Xin Yao, Jong-Hwan Kim, Takeshi Furuhashi:
Simulated Evolution and Learning, First Asia-Pacific Conference, SEAL'96, Taejon, Korea, November 9-12, 1996, Selected Papers. Lecture Notes in Computer Science 1285, Springer 1997, ISBN 3-540-63399-5 [contents] - 1996
- [c11]Xin Yao, Yong Liu:
Evolving Artificial Neural Networks through Evolutionary Programming. Evolutionary Programming 1996: 257-266 - [c10]Xin Yao, Yong Liu:
Fast Evolutionary Programming. Evolutionary Programming 1996: 451-460 - [c9]Paul J. Darwen, Xin Yao:
Automatic Modularization by Speciation. International Conference on Evolutionary Computation 1996: 88-93 - [c8]Xin Yao, Yong Liu:
Ensemble Structure of Evolutionary Artificial Neural Networks. International Conference on Evolutionary Computation 1996: 659-664 - [c7]Yong Liu, Xin Yao:
Evolutionary Design of Artificial Neural Networks with Different Nodes. International Conference on Evolutionary Computation 1996: 670-675 - [c6]Xin Yao
Promises and Challenges of Evolvable Hardware. ICES 1996: 55-78 - [c5]Paul J. Darwen
Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared. PPSN 1996: 398-407 - [c4]Xin Yao, Yong Liu:
EPNet for Chaotic Time-Series Prediction. SEAL 1996: 146-156 - 1995
- [j9]Xin Yao
A new simulated annealing algorithm. Int. J. Comput. Math. 56(3-4): 161-168 (1995) - [j8]Xin Yao
A Note on Neural Sorting Networks with O(1) Time Complexity. Inf. Process. Lett. 56(5): 253-254 (1995) - [c3]Xin Yao, Nitin Kanani:
Call Routing by Simulated Annealing. IEA/AIE 1995: 737-744 - [e1]Xin Yao
Process in Evolutionary Computation, AI'93 and AI'94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993, Armidale, NSW, Australia, November 21-22, 1994, Selected Papers. Lecture Notes in Computer Science 956, Springer 1995, ISBN 3-540-60154-6 [contents] - 1994
- [j7]Xin Yao:
An Introduction to the Special Issue on Evolutionary Computation. Informatica (Slovenia) 18(4) (1994) - [j6]Xin Yao, Paul J. Darwen:
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games. Informatica (Slovenia) 18(4) (1994) - [c2]Xin Yao
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games. Evo Workshops 1994: 90-108 - [c1]Paul J. Darwen
On Evolving Robust Strategies for Iterated Prisoner's Dilemma. Evo Workshops 1994: 276-292 - 1993
- [j5]Xin Yao:
A review of evolutionary artificial neural networks. Int. J. Intell. Syst. 8(4): 539-567 (1993) - [j4]Xin Yao
Evolutionary Artificial Neural Networks. Int. J. Neural Syst. 4(3): 203-222 (1993) - [j3]Xin Yao
An empirical study of genetic operators in genetic algorithms. Microprocess. Microprogramming 38(1-5): 707-714 (1993) - 1992
- [j2]Xin Yao
Finding Approximate Solutions to NP-Hard Problems by Neural Networks is Hard. Inf. Process. Lett. 41(2): 93-98 (1992) - 1991
- [j1]Xin Yao
Simulated annealing with extended neighbourhood. Int. J. Comput. Math. 40(3-4): 169-189 (1991)
Coauthor Index
Jürgen Branke
aka: Juergen Branke
aka: Juergen Branke
[j381] [j377] [c355] [j372] [j359] [c353] [c349] [c342] [d3] [i86] [j354] [j350] [j338] [c340] [c339] [c337] [c331] [c330] [i81] [j329] [j328] [c325] [c322] [c311] [c310] [i72] [c306] [c301] [c296] [d2] [d1] [j292] [j289] [j276] [c278] [c273] [j262] [c264] [j257] [i31] [i26] [j235] [j225] [j223] [c244] [c243] [j197] [c240] [j171] [c225] [c224] [c223] [c221] [i14] [i13] [j170] [j169] [j160] [c215] [c210] [c206] [c205] [j148] [c197] [c193] [c189] [c173] [j125]
[j381] [c353] [i86] [j338] [c340] [c339] [c333] [c331] [c325] [c322] [c318] [c313] [c311] [i72] [c308] [c306] [c301] [c299] [c296] [d2] [d1] [j282] [c284] [c278] [c274] [c273] [j239] [j200] [j189] [j187] [c233] [j168] [c214] [c200] [c178] [c158] [c142] [c130] [c120] [c119] [c99] [j69] [j66] [c74] [c68] [c52]
[i98] [j375] [j349] [j343] [i75] [j336] [j333] [j332] [j325] [j322] [j318] [c309] [c297] [i54] [i51] [j295] [j294] [j286] [j283] [c293] [c280] [i46] [i44] [i43] [j273] [j270] [j268] [j261] [c270] [c267] [i38] [i36] [i35] [j246] [c255] [i32] [i30] [i27] [i24] [j239] [j238] [j230] [j227] [j226] [j225] [c249] [c248] [c242] [i21] [i17] [j213] [j204] [j200] [j196] [c238] [c235] [i15] [j191] [j189] [j188] [j187] [j184] [j181] [c233] [c232] [c230] [c222] [j168] [j162] [c214] [c212] [c207] [e12] [i12] [j153] [j144] [c200] [c194] [c191] [i9] [j142] [j138] [j137] [c184] [c183] [i6] [j128] [j126] [j122] [j121] [c171] [c170] [c166] [c163] [j118] [j116] [j113] [j109] [j104] [c156] [c155] [c150] [c148] [c147] [c146] [c134] [c132] [j92] [j91] [c127] [c126] [c125] [c122] [c114] [c105] [c97]
Peter Tiño
aka: Peter Tino
aka: Peter Tino
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