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Yuhui Shi
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2020 – today
- 2024
- [j110]Shi Cheng, Xueping Wang, Mingming Zhang, Xiujuan Lei, Hui Lu, Yuhui Shi:
Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm. Appl. Soft Comput. 150: 111105 (2024) - [j109]Qiqi Duan
, Chang Shao
Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations. Appl. Soft Comput. 166: 112232 (2024) - [j108]Zipeng Ye
Gradient Inversion Attacks: Impact Factors Analyses and Privacy Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9834-9850 (2024) - [j107]Honglin Jin, Xueping Wang
Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm. Swarm Evol. Comput. 89: 101649 (2024) - [j106]Jinghui Zhong
Automatic Crowd Navigation Path Planning in Public Scenes Through Multiobjective Differential Evolution. IEEE Trans. Comput. Soc. Syst. 11(1): 905-918 (2024) - [j105]Zipeng Ye
C2FMI: Corse-to-Fine Black-Box Model Inversion Attack. IEEE Trans. Dependable Secur. Comput. 21(3): 1437-1450 (2024) - [j104]Zipeng Ye
An Evolutionary Attack for Revealing Training Data of DNNs With Higher Feature Fidelity. IEEE Trans. Dependable Secur. Comput. 21(4): 4193-4205 (2024) - [j103]Hui Lu
Unmanned Aerial Vehicle Flight Data Anomaly Detection Based on Multirate-Aware LSTM. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j102]Zan Wang
Lightweight CNN Architecture Design Based on Spatial-Temporal Tensor and Its Application in Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j101]Ruiqi Zheng
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3363-3375 (2024) - [j100]Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi:
Automated Design of Metaheuristic Algorithms: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [j99]Qiqi Duan
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization. IEEE Trans. Parallel Distributed Syst. 35(11): 2087-2101 (2024) - [j98]Xin Si
A 28 nm 16-kb Sign-Extension-Less Digital-Compute-in-Memory Macro With Extension-Friendly Compute Units and Accuracy-Adjustable Adder-Tree. IEEE Trans. Very Large Scale Integr. Syst. 32(11): 2164-2168 (2024) - [c116]Beizhe Hu, Qiang Sheng
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. AAAI 2024: 22105-22113 - [c115]Jiawan Wang
Scenario-Based Flexible Modeling and Scalable Falsification for Reconfigurable CPSs. CAV (3) 2024: 329-355 - [c114]Liang Qu, Cunze Wang, Yuhui Shi:
Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. CEC 2024: 1-7 - [c113]Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi:
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CVPR 2024: 26265-26275 - [c112]Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang:
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. IJCAI 2024: 494-502 - [c111]Yajing Tan, Yuwei Huang, Qiqi Duan, Yijun Yang, Yuhui Shi:
Distributed Population-Based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models. PRICAI (3) 2024: 21-26 - [c110]Ruiqi Zheng
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR 2024: 1712-1721 - [c109]Liang Qu
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [c108]Ruiqi Zheng
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW 2024: 3930-3939 - [e45]Ying Tan
Data Mining and Big Data - 8th International Conference, DMBD 2023, Sanya, China, December 9-12, 2023, Proceedings, Part I. Communications in Computer and Information Science 2017, Springer 2024, ISBN 978-981-97-0836-9 [contents] - [e44]Ying Tan
Data Mining and Big Data - 8th International Conference, DMBD 2023, Sanya, China, December 9-12, 2023, Proceedings, Part II. Communications in Computer and Information Science 2018, Springer 2024, ISBN 978-981-97-0843-7 [contents] - [e43]Ying Tan
Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14788, Springer 2024, ISBN 978-981-97-7180-6 [contents] - [e42]Ying Tan
Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14789, Springer 2024, ISBN 978-981-97-7183-7 [contents] - [i40]Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang:
On-Device Recommender Systems: A Comprehensive Survey. CoRR abs/2401.11441 (2024) - [i39]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR abs/2401.13448 (2024) - [i38]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i37]Wenjian Luo, Peilan Xu, Shengxiang Yang, Yuhui Shi:
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization. CoRR abs/2402.02033 (2024) - [i36]Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. CoRR abs/2402.09199 (2024) - [i35]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR abs/2404.01177 (2024) - [i34]Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin:
Automated Similarity Metric Generation for Recommendation. CoRR abs/2404.11818 (2024) - [i33]Liang Qu, Cunze Wang, Yuhui Shi:
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification. CoRR abs/2404.15585 (2024) - [i32]Qi Zhao, Tengfei Liu, Bai Yan, Qiqi Duan, Jian Yang, Yuhui Shi:
Automated Metaheuristic Algorithm Design with Autoregressive Learning. CoRR abs/2405.03419 (2024) - [i31]Qi Zhou, Zipeng Ye, Yubo Tang, Wenjian Luo, Yuhui Shi, Yan Jia:
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense. CoRR abs/2407.05396 (2024) - [i30]Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin:
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation. CoRR abs/2410.10130 (2024) - [i29]Penghui Ruan, Pichao Wang, Divya Saxena, Jiannong Cao, Yuhui Shi:
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning. CoRR abs/2410.24219 (2024) - 2023
- [j97]Jianhui Lv, Yuhui Shi, Hui Cheng, Zhiwei Lin, Lianbo Ma:
Guest editorial: AI and edge computing driven technologies and applications. Digit. Commun. Networks 9(2): 448-449 (2023) - [j96]Alessandro Crivellari, Hong Wei, Chunzhu Wei, Yuhui Shi:
Super-resolution GANs for upscaling unplanned urban settlements from remote sensing satellite imagery - the case of Chinese urban village detection. Int. J. Digit. Earth 16(1): 2623-2643 (2023) - [j95]Chao Lyu, Yuhui Shi, Lijun Sun:
Data-driven evolutionary multi-task optimization for problems with complex solution spaces. Inf. Sci. 626: 805-820 (2023) - [j94]Lijun Sun
Toward multi-target self-organizing pursuit in a partially observable Markov game. Inf. Sci. 648: 119475 (2023) - [j93]Shi Cheng
Brain storm optimization algorithm for solving knowledge spillover problems. Neural Comput. Appl. 35(17): 12247-12260 (2023) - [j92]Zeneng She, Wenjian Luo
Multiparty distance minimization: Problems and an evolutionary approach. Swarm Evol. Comput. 83: 101415 (2023) - [j91]Haibin Duan
Autonomous Maneuver Decision for Unmanned Aerial Vehicle via Improved Pigeon-Inspired Optimization. IEEE Trans. Aerosp. Electron. Syst. 59(3): 3156-3170 (2023) - [j90]Linghao Kong, Wenjian Luo
Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack. IEEE Trans. Artif. Intell. 4(3): 562-572 (2023) - [j89]Qi Zhao
Evolutionary Robust Clustering Over Time for Temporal Data. IEEE Trans. Cybern. 53(7): 4334-4346 (2023) - [j88]Chao Lyu
Community Detection in Multiplex Networks Based on Evolutionary Multitask Optimization and Evolutionary Clustering Ensemble. IEEE Trans. Evol. Comput. 27(3): 728-742 (2023) - [j87]Ruiqi Zheng
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023) - [c107]Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi:
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. ICML 2023: 39623-39638 - [c106]Zeneng She, Wenjian Luo, Yatong Chang, Zhen Song, Yuhui Shi:
On the Privacy Issue of Evolutionary Biparty Multiobjective Optimization. ICSI (1) 2023: 371-382 - [c105]Liang Qu
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW 2023: 339-348 - [e41]Ying Tan
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13968, Springer 2023, ISBN 978-3-031-36621-5 [contents] - [e40]Ying Tan
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13969, Springer 2023, ISBN 978-3-031-36624-6 [contents] - [i28]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i27]Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi:
A Survey on Automated Design of Metaheuristic Algorithms. CoRR abs/2303.06532 (2023) - [i26]Qi Zhao, Bai Yan, Taiwei Hu, Xianglong Chen, Yuhui Shi:
AutoOptLib: A Library of Automatically Designing Metaheuristic Optimization Algorithms in MATLAB. CoRR abs/2303.06536 (2023) - [i25]Qiqi Duan, Chang Shao, Guochen Zhou
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations. CoRR abs/2304.05020 (2023) - [i24]Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi:
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. CoRR abs/2305.18444 (2023) - [i23]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR abs/2306.10532 (2023) - [i22]Lijun Sun, Yu-Cheng Chang, Chao Lyu, Chin-Teng Lin, Yuhui Shi:
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula. CoRR abs/2307.14854 (2023) - [i21]Beizhe Hu, Qiang Sheng
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. CoRR abs/2309.12247 (2023) - [i20]Xinyu Chen, Jian Yang, Zonghan He, Haobin Yang, Qi Zhao, Yuhui Shi:
QwenGrasp: A Usage of Large Vision-Language Model for Target-Oriented Grasping. CoRR abs/2309.16426 (2023) - [i19]Qiqi Duan, Chang Shao, Guochen Zhou, Qi Zhao, Yuhui Shi:
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization. CoRR abs/2310.05377 (2023) - [i18]Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi:
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR abs/2311.16714 (2023) - 2022
- [j86]Jian Yang
Automatic synthesizing multi-robot cooperation strategies based on Brain Storm Robotics. Appl. Soft Comput. 120: 108672 (2022) - [j85]Meng Zhao
A multi-robot cooperative exploration algorithm considering working efficiency and working load. Appl. Soft Comput. 128: 109482 (2022) - [j84]Zonghui Cai, Shangce Gao
Alternate search pattern-based brain storm optimization. Knowl. Based Syst. 238: 107896 (2022) - [j83]Alessandro Crivellari, Bernd Resch
TraceBERT - A Feasibility Study on Reconstructing Spatial-Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences. Sensors 22(4): 1682 (2022) - [j82]Hoang Thanh Le
An Improvement Heuristic Based on Variable Neighborhood Search for Dynamic Orienteering Problems with Changing Node Values and Changing Budgets. SN Comput. Sci. 3(4): 326 (2022) - [j81]Qi Zhao
Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process. IEEE Trans. Cybern. 52(7): 6119-6130 (2022) - [c104]Lei Bu, Goran Frehse, Atanu Kundu, Rajarshi Ray, Yuhui Shi, Enea Zaffanella
ARCH-COMP22 Category Report: Hybrid Systems with Piecewise Constant Dynamics and Bounded Model Checking. ARCH@SAFECOMP 2022: 44-57 - [c103]Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan, Yuhui Shi:
BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning. AI 2022: 570-581 - [c102]Yatong Chang, Wenjian Luo, Xin Lin, Zeneng She, Yuhui Shi:
Multiparty Multiobjective Optimization By MOEA/D. CEC 2022: 1-8 - [c101]Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. COLING 2022: 2834-2848 - [c100]Qiqi Duan, Guochen Zhou
Distributed evolution strategies for large-scale optimization. GECCO Companion 2022: 395-398 - [c99]Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi:
Pareto Policy Pool for Model-based Offline Reinforcement Learning. ICLR 2022 - [c98]Qiqi Duan, Guochen Zhou
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization. PPSN (2) 2022: 281-294 - [c97]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
Single-shot Embedding Dimension Search in Recommender System. SIGIR 2022: 513-522 - [c96]Jian Yang, Haobin Yang, Zonghan He, Qi Zhao
Solving Vehicle Routing Problem with Drones Based on a Bi-level Heuristic Approach. SMC 2022: 2906-2911 - [e39]Ying Tan
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part I. Communications in Computer and Information Science 1744, Springer 2022, ISBN 978-981-19-9296-4 [contents] - [e38]Ying Tan
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II. Communications in Computer and Information Science 1745, Springer 2022, ISBN 978-981-19-8990-2 [contents] - [e37]Ying Tan
Advances in Swarm Intelligence - 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13344, Springer 2022, ISBN 978-3-031-09676-1 [contents] - [e36]Ying Tan
Advances in Swarm Intelligence - 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13345, Springer 2022, ISBN 978-3-031-09725-6 [contents] - [i17]Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR abs/2201.00523 (2022) - [i16]Ruiqi Zheng
AutoML for Deep Recommender Systems: A Survey. CoRR abs/2203.13922 (2022) - [i15]Qi Zhao
AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems. CoRR abs/2204.00998 (2022) - [i14]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
Single-shot Embedding Dimension Search in Recommender System. CoRR abs/2204.03281 (2022) - [i13]Lijun Sun, Yu-Cheng Chang
Toward multi-target self-organizing pursuit in a partially observable Markov game. CoRR abs/2206.12330 (2022) - [i12]Zeneng She, Wenjian Luo, Xin Lin, Yatong Chang, Yuhui Shi:
Evolutionary Multiparty Distance Minimization. CoRR abs/2207.13390 (2022) - [i11]Qiong Nan, Danding Wang
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. CoRR abs/2209.08902 (2022) - [i10]Qiqi Duan, Guochen Zhou
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization. CoRR abs/2212.05652 (2022) - 2021
- [j80]Shi Cheng
Evolutionary computation for solving search-based data analytics problems. Artif. Intell. Rev. 54(2): 1321-1348 (2021) - [j79]Yuhui Shi
Hybrid Control of Digital Baker Map with Application to Pseudo-Random Number Generator. Entropy 23(5): 578 (2021) - [j78]Ya Shuang Deng, Yuhui Shi:
An Error Compensation Method for Improving the Properties of a Digital Henon Map Based on the Generalized Mean Value Theorem of Differentiation. Entropy 23(12): 1628 (2021) - [j77]Hui Lu, Shengjie Sun, Shi Cheng
An adaptive niching method based on multi-strategy fusion for multimodal optimization. Memetic Comput. 13(3): 341-357 (2021) - [j76]Ying Tan
Preface. Nat. Comput. 20(1): 1-2 (2021) - [j75]Haibin Duan
Dynamic Discrete Pigeon-Inspired Optimization for Multi-UAV Cooperative Search-Attack Mission Planning. IEEE Trans. Aerosp. Electron. Syst. 57(1): 706-720 (2021) - [j74]Haibin Duan
Bionic Visual Control for Probe-and-Drogue Autonomous Aerial Refueling. IEEE Trans. Aerosp. Electron. Syst. 57(2): 848-865 (2021) - [j73]Haibin Duan
Homing Pigeon-Inspired Autonomous Navigation System for Unmanned Aerial Vehicles. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2218-2224 (2021) - [j72]Chao Lyu
A Novel Local Community Detection Method Using Evolutionary Computation. IEEE Trans. Cybern. 51(6): 3348-3360 (2021) - [j71]Ye Shi
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 29-41 (2021) - [j70]Yurui Ming
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 583-594 (2021) - [j69]Lianbo Ma
Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6723-6742 (2021) - [c95]Chao Lyu
Community Detection Based on Surrogate Network. BIC-TA (2) 2021: 45-53 - [c94]Lijun Sun, Chao Lyu, Yuhui Shi, Chin-Teng Lin
Multiple-Preys Pursuit based on Biquadratic Assignment Problem. CEC 2021: 1585-1592 - [c93]Jian Yang, Yuhui Shi:
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems. CEC 2021: 1968-1975 - [c92]Chao Lyu, Lijun Sun, Yuhui Shi:
Machine Learning based Fitness Landscape Smoothing for Guiding Evolutionary Optimization. CIS 2021: 6-10 - [c91]Liang Qu, Ruiqi Zheng, Yuhui Shi:
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization. DMBD (2) 2021: 167-174 - [c90]Chang Shao, Qi Zhao
Generalized Test Suite for Continuous Dynamic Multi-objective Optimization. EMO 2021: 205-217 - [c89]Hoang Thanh Le, Martin Middendorf, Yuhui Shi:
An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem. EvoCOP 2021: 68-83 - [c88]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD 2021: 1390-1398 - [c87]Mingyang Feng, Qi Zhao
Preserving Coupled Nodes in Population-Based CNP Solvers by Clustering-Elitism Search. SSCI 2021: 1-7 - [c86]Youkui Zhang, Qiqi Duan, Chang Shao, Yuhui Shi:
Parallel Population-Based Simulated Annealing for High-Dimensional Black-Box Optimization. SSCI 2021: 1-7 - [c85]Youkui Zhang, Liang Zhang, Qiqi Duan, Yuhui Shi:
BSO-ES: A Hybrid Direct Policy Search Algorithm for Reinforcement Learning. SSCI 2021: 1-6 - [c84]Jian Yang, Donghui Zhao, Xinhao Xiang, Yuhui Shi:
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics. ICSI (2) 2021: 155-167 - [e35]Ying Tan
Data Mining and Big Data - 6th International Conference, DMBD 2021, Guangzhou, China, October 20-22, 2021, Proceedings, Part I. Communications in Computer and Information Science 1453, Springer 2021, ISBN 978-981-16-7475-4 [contents] - [e34]Ying Tan
Data Mining and Big Data - 6th International Conference, DMBD 2021, Guangzhou, China, October 20-22, 2021, Proceedings, Part II. Communications in Computer and Information Science 1454, Springer 2021, ISBN 978-981-16-7501-0 [contents] - [e33]Ying Tan
Advances in Swarm Intelligence - 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12689, Springer 2021, ISBN 978-3-030-78742-4 [contents] - [e32]Ying Tan
Advances in Swarm Intelligence - 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12690, Springer 2021, ISBN 978-3-030-78810-0 [contents] - [i9]Jian Yang, Yuhui Shi:
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems. CoRR abs/2105.13095 (2021) - [i8]Jian Yang, Yuhui Shi:
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics. CoRR abs/2105.13108 (2021) - [i7]Jian Yang, Yuhui Shi:
Adaptive Coordinated Motion Control for Swarm Robotics Based on Brain Storm Optimization. CoRR abs/2105.13111 (2021) - [i6]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR abs/2106.02817 (2021) - [i5]Qi Zhao, Bai Yan, Yuhui Shi:
Evolutionary Robust Clustering Over Time for Temporal Data. CoRR abs/2106.07252 (2021) - 2020
- [j68]Yang Shen
A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows. IEEE Access 8: 93882-93893 (2020) - [j67]Chao Lyu
A Novel Multi-Task Optimization Algorithm Based on the Brainstorming Process. IEEE Access 8: 217134-217149 (2020) - [j66]Lijun Sun
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain. Appl. Soft Comput. 89: 106098 (2020) - [j65]Jian Yang
Visual fixation prediction with incomplete attention map based on brain storm optimization. Appl. Soft Comput. 96: 106653 (2020) - [j64]Jian Yang
Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms. Complex. 2020: 8863526:1-8863526:12 (2020) - [j63]Lianbo Ma, Rui Wang
A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model. Inf. Sci. 509: 437-456 (2020) - [j62]Hui Lu
Adaptive online data-driven closed-loop parameter control strategy for swarm intelligence algorithm. Inf. Sci. 536: 25-52 (2020) - [j61]Kashif Hussain, Mohd. Najib Mohd. Salleh
Artificial bee colony algorithm: A component-wise analysis using diversity measurement. J. King Saud Univ. Comput. Inf. Sci. 32(7): 794-808 (2020) - [j60]Ying Tan
Preface. Nat. Comput. 19(4): 643-645 (2020) - [j59]Xianghua Chu, Teresa Wu, Jeffery D. Weir, Yuhui Shi, Ben Niu, Li Li:
Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective. Neural Comput. Appl. 32(6): 1789-1809 (2020) - [j58]Haibin Duan
Limit-Cycle-Based Mutant Multiobjective Pigeon-Inspired Optimization. IEEE Trans. Evol. Comput. 24(5): 948-959 (2020) - [c83]Mingde Liu
A Hybrid BSO-ACS Algorithm for Vehicle Routing Problem with Time Windows on Road Networks. CEC 2020: 1-8 - [c82]Liang Qu, Huaisheng Zhu, Yuhui Shi:
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC 2020: 1-7 - [c81]Yang Shen, Jian Yang, Shi Cheng, Yuhui Shi:
BSO-AL: Brain Storm Optimization Algorithm with Adaptive Learning Strategy. CEC 2020: 1-7 - [c80]Jian Yang, Yang Shen, Yuhui Shi:
Brain Storm Robotics: An Automatic Design Framework for Multi-Robot Systems. CEC 2020: 1-8 - [c79]Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao, Xiaolong Shen:
Swarm Intelligence in Data Science: Applications, Opportunities and Challenges. ICSI 2020: 3-14 - [c78]Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi:
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. ICSI 2020: 243-250 - [c77]Mingde Liu
A Hybrid Brain Storm Optimization Algorithm for Dynamic Vehicle Routing Problem. ICSI 2020: 251-258 - [c76]Gao Li, Qiqi Duan, Yuhui Shi:
A Parallel Evolutionary Algorithm with Value Decomposition for Multi-agent Problems. ICSI 2020: 616-627 - [c75]Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi:
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW 2020: 3026-3032 - [e31]Ying Tan
Data Mining and Big Data - 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Communications in Computer and Information Science 1234, Springer 2020, ISBN 978-981-15-7204-3 [contents] - [e30]Ying Tan
Advances in Swarm Intelligence - 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Lecture Notes in Computer Science 12145, Springer 2020, ISBN 978-3-030-53955-9 [contents] - [i4]Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin:
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning. CoRR abs/2001.02399 (2020)
2010 – 2019
- 2019
- [j57]Kashif Hussain
Metaheuristic research: a comprehensive survey. Artif. Intell. Rev. 52(4): 2191-2233 (2019) - [j56]Farhad Pourpanah
Feature selection based on brain storm optimization for data classification. Appl. Soft Comput. 80: 761-775 (2019) - [j55]Hui Lu
Multi-center variable-scale search algorithm for combinatorial optimization problems with the multimodal property. Appl. Soft Comput. 84 (2019) - [j54]Xianghua Chu
Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm. Comput. Ind. Eng. 136: 381-396 (2019) - [j53]Shi Cheng, Xiujuan Lei, Hui Lu, Yong Zhang
Generalized pigeon-inspired optimization algorithms. Sci. China Inf. Sci. 62(7): 70211:1-70211:3 (2019) - [j52]Yong Zhang
Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm. Expert Syst. Appl. 137: 46-58 (2019) - [j51]Farhad Pourpanah
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing 333: 440-451 (2019) - [j50]Kashif Hussain, Mohd. Najib Mohd. Salleh
On the exploration and exploitation in popular swarm-based metaheuristic algorithms. Neural Comput. Appl. 31(11): 7665-7683 (2019) - [j49]Haibin Duan
Predator-Prey Pigeon-Inspired Optimization for UAV ALS Longitudinal Parameters Tuning. IEEE Trans. Aerosp. Electron. Syst. 55(5): 2347-2358 (2019) - [c74]Cong Zhang, Xiaobin Xu, Yuhui Shi, Yimin Deng, Cong Li, Haibin Duan:
Binocular Pose Estimation for UAV Autonomous Aerial Refueling via Brain Storm Optimization. CEC 2019: 254-261 - [c73]Rui Wang
Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design. CEC 2019: 262-270 - [c72]Shi Cheng, Hui Lu, Yi-Nan Guo
Dynamic Multimodal Optimization: A Preliminary Study. CEC 2019: 279-285 - [c71]Geng Zhang, Yuhui Shi, Jun Steed Huang:
Cooperative Optimization Algorithm for the 100-Digit Challenge. CEC 2019: 376-380 - [c70]Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu:
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. CEC 2019: 721-730 - [c69]Yaxian Liu, Hui Lu, Shi Cheng, Yuhui Shi:
An Adaptive Online Parameter Control Algorithm for Particle Swarm Optimization Based on Reinforcement Learning. CEC 2019: 815-822 - [c68]Gao Li, Dabu Zhang, Yuhui Shi:
An Unknown Environment Exploration Strategy for Swarm Robotics Based on Brain Storm Optimization Algorithm. CEC 2019: 1044-1051 - [c67]Liang Qu, Yuhui Shi:
Gradient-free Algorithms for Graph Embedding. CEC 2019: 2746-2752 - [c66]Farhad Pourpanah
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI 2019: 673-679 - [c65]Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi:
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization. SSCI 2019: 2690-2697 - [p3]Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi:
Brain Storm Optimization Algorithms: More Questions than Answers. Brain Storm Optimization Algorithms 2019: 3-32 - [p2]Hui Lu, Rongrong Zhou, Shi Cheng, Yuhui Shi:
Brain Storm Optimization for Test Task Scheduling Problem. Brain Storm Optimization Algorithms 2019: 35-59 - [p1]Hui Lu, Chongchong Guan, Shi Cheng, Yuhui Shi:
A Feature Extraction Method Based on BSO Algorithm for Flight Data. Brain Storm Optimization Algorithms 2019: 157-188 - [e29]Shi Cheng, Yuhui Shi:
Brain Storm Optimization Algorithms: Concepts, Principles and Applications. Springer 2019, ISBN 978-3-030-15069-3 [contents] - [e28]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings. Communications in Computer and Information Science 1071, Springer 2019, ISBN 978-981-32-9562-9 [contents] - [e27]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11655, Springer 2019, ISBN 978-3-030-26368-3 [contents] - [e26]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11656, Springer 2019, ISBN 978-3-030-26353-9 [contents] - [i3]Lijun Sun, Chao Lyu, Yuhui Shi:
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain. CoRR abs/1901.07865 (2019) - 2018
- [j48]Shi Cheng
Locating Multiple Optima via Brain Storm Optimization Algorithms. IEEE Access 6: 17039-17049 (2018) - [j47]Geng Zhang, Yangmin Li
Distributed learning particle swarm optimizer for global optimization of multimodal problems. Frontiers Comput. Sci. 12(1): 122-134 (2018) - [j46]Shi Cheng, Junfeng Chen, Quande Qin, Yuhui Shi:
Population diversity of particle swarm optimisation algorithms for solving multimodal optimisation problems. Int. J. Comput. Sci. Eng. 17(1): 69-79 (2018) - [j45]Shi Cheng, Yuhui Shi:
Thematic issue on "Brain Storm Optimization Algorithms". Memetic Comput. 10(4): 351-352 (2018) - [j44]Haibin Duan
Close formation flight of swarm unmanned aerial vehicles via metric-distance brain storm optimization. Memetic Comput. 10(4): 369-381 (2018) - [j43]Ying Tan
Special Section on Swarm-Based Algorithms and Applications in Computational Biology and Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1863-1864 (2018) - [c64]Shi Cheng, Hui Lu, Wu Song, Junfeng Chen, Yuhui Shi:
Dynamic Multimodal Optimization Using Brain Storm Optimization Algorithms. BIC-TA (1) 2018: 236-245 - [c63]Geng Zhang, Yuhui Shi:
Hybrid Sampling Evolution Strategy for Solving Single Objective Bound Constrained Problems. CEC 2018: 1-7 - [c62]Bin Liu, Shi Cheng, Yuhui Shi:
Improving estimation of distribution algorithms with heavy-tailed student's t distributions. ICACI 2018: 11-16 - [c61]Qiqi Duan, Lijun Sun, Yuhui Shi:
Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization. PPSN (1) 2018: 424-435 - [c60]Mohd. Najib Mohd. Salleh
Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. SCDM 2018: 24-32 - [c59]Rui Wang
Multi-indicator Bacterial Foraging Algorithm with Kriging Model for Many-Objective Optimization. ICSI (1) 2018: 530-539 - [e25]Ying Tan, Yuhui Shi, Qirong Tang:
Data Mining and Big Data - Third International Conference, DMBD 2018, Shanghai, China, June 17-22, 2018, Proceedings. Lecture Notes in Computer Science 10943, Springer 2018, ISBN 978-3-319-93802-8 [contents] - [e24]Ying Tan, Yuhui Shi, Qirong Tang:
Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10941, Springer 2018, ISBN 978-3-319-93814-1 [contents] - [e23]Ying Tan, Yuhui Shi, Qirong Tang:
Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10942, Springer 2018, ISBN 978-3-319-93817-2 [contents] - 2017
- [j42]Quande Qin
Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization. Appl. Soft Comput. 59: 229-242 (2017) - [j41]Yonggang Chen, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, Yuhui Shi:
Particle swarm optimizer with two differential mutation. Appl. Soft Comput. 61: 314-330 (2017) - [j40]Lianbo Ma, Shi Cheng, Xingwei Wang, Min Huang, Hai Shen, Xiaoxian He, Yuhui Shi:
Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning. Knowl. Based Syst. 133: 278-293 (2017) - [j39]Ying Tan
Preface. Nat. Comput. 16(1): 1-4 (2017) - [j38]Junfeng Chen, Yingjuan Xie, Hua Chen, Qiwen Yang, Shi Cheng, Yuhui Shi:
An improved extremal optimization based on the distribution knowledge of candidate solutions. Nat. Comput. 16(1): 135-149 (2017) - [j37]Ying Tan
Preface. Nat. Comput. 16(4): 507-509 (2017) - [j36]Yali Wu, Ge Liu, Xiaoping Guo, Yuhui Shi, Lixia Xie:
A self-adaptive chaos and Kalman filter-based particle swarm optimization for economic dispatch problem. Soft Comput. 21(12): 3353-3365 (2017) - [j35]Ying Tan
Editorial: Special Section on Bio-Inspired Swarm Computing and Engineering. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 1-3 (2017) - [c58]Gai-Ge Wang
An improved Brain Storm Optimization algorithm based on graph theory. CEC 2017: 509-515 - [c57]Shi Cheng, Yifei Sun, Junfeng Chen, Quande Qin
A comprehensive survey of brain storm optimization algorithms. CEC 2017: 1637-1644 - [c56]Yingying Cao, Wei Chen, Shi Cheng, Yifei Sun, Qunfeng Liu, Yun Li
A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals. SEAL 2017: 27-38 - [c55]Shi Cheng, Xiujuan Lei, Junfeng Chen, Jiqiang Feng, Yuhui Shi:
Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization. SEAL 2017: 347-357 - [c54]Qiqi Duan, Chang Shao, Xiaodong Li
Visualizing the Search Dynamics in a High-Dimensional Space for a Particle Swarm Optimizer. SEAL 2017: 994-1002 - [c53]Huaxin Qiu, Haibin Duan, Ziwei Zhou, Xiaogang Hu, Yuhui Shi:
Chaotic predator-prey brain storm optimization for continuous optimization problems. SSCI 2017: 1-7 - [c52]Kashif Hussain, Mohd. Najib Mohd. Salleh
Comparative Analysis of Swarm-Based Metaheuristic Algorithms on Benchmark Functions. ICSI (1) 2017: 3-11 - [e22]Ying Tan, Hideyuki Takagi, Yuhui Shi:
Data Mining and Big Data - Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings. Lecture Notes in Computer Science 10387, Springer 2017, ISBN 978-3-319-61844-9 [contents] - [e21]Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin:
Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings. Lecture Notes in Computer Science 10593, Springer 2017, ISBN 978-3-319-68758-2 [contents] - [e20]Ying Tan, Hideyuki Takagi, Yuhui Shi:
Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10385, Springer 2017, ISBN 978-3-319-61823-4 [contents] - [e19]Ying Tan, Hideyuki Takagi, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10386, Springer 2017, ISBN 978-3-319-61832-6 [contents] - 2016
- [j34]Shi Cheng
Brain storm optimization algorithm: a review. Artif. Intell. Rev. 46(4): 445-458 (2016) - [j33]Zhengxuan Jia, Haibin Duan, Yuhui Shi:
Hybrid brain storm optimisation and simulated annealing algorithm for continuous optimisation problems. Int. J. Bio Inspired Comput. 8(2): 109-121 (2016) - [j32]Daniel Reich, Yuhui Shi, Marina A. Epelman
Scheduling Crash Tests at Ford Motor Company. Interfaces 46(5): 409-423 (2016) - [j31]Quande Qin
Particle Swarm Optimization With Interswarm Interactive Learning Strategy. IEEE Trans. Cybern. 46(10): 2238-2251 (2016) - [c51]Ziwei Zhou, Haibin Duan, Yuhui Shi:
Convergence analysis of brain storm optimization algorithm. CEC 2016: 3747-3752 - [c50]Shi Cheng, Bin Liu
Evolutionary Computation and Big Data: Key Challenges and Future Directions. DMBD 2016: 3-14 - [c49]Haoyu Zhu, Yuhui Shi:
Brain storm optimization algorithm for full area coverage of wireless sensor networks. ICACI 2016: 14-20 - [c48]Bin Liu
Particle Filter Optimization: A Brief Introduction. ICSI (1) 2016: 95-104 - [c47]Junfeng Chen, Jingyu Wang, Shi Cheng, Yuhui Shi:
Brain Storm Optimization with Agglomerative Hierarchical Clustering Analysis. ICSI (2) 2016: 115-122 - [c46]Shi Cheng, Quande Qin
Brain Storm Optimization in Objective Space Algorithm for Multimodal Optimization Problems. ICSI (1) 2016: 469-478 - [c45]Tiew On Ting, Yuhui Shi:
Parameter Estimation of Vertical Two-Layer Soil Model via Brain Storm Optimization Algorithm. ICSI (1) 2016: 500-511 - [e18]Ying Tan, Yuhui Shi:
Data Mining and Big Data, First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings. Lecture Notes in Computer Science 9714, Springer 2016, ISBN 978-3-319-40972-6 [contents] - [e17]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence, 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9712, Springer 2016, ISBN 978-3-319-40999-3 [contents] - [e16]Ying Tan, Yuhui Shi, Li Li:
Advances in Swarm Intelligence, 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9713, Springer 2016, ISBN 978-3-319-41008-1 [contents] - [i2]Bin Liu, Shi Cheng, Yuhui Shi:
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization. CoRR abs/1608.03757 (2016) - 2015
- [j30]Quande Qin
Biomimicry of parasitic behavior in a coevolutionary particle swarm optimization algorithm for global optimization. Appl. Soft Comput. 32: 224-240 (2015) - [j29]Quande Qin
Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization. Comput. Oper. Res. 60: 91-110 (2015) - [j28]Shi Cheng, Quande Qin, Junfeng Chen
Analytics on Fireworks Algorithm Solving Problems with Shifts in the Decision Space and Objective Space. Int. J. Swarm Intell. Res. 6(2): 52-86 (2015) - [j27]Jun Sun, Xiaojun Wu, Vasile Palade
Random drift particle swarm optimization algorithm: convergence analysis and parameter selection. Mach. Learn. 101(1-3): 345-376 (2015) - [j26]Yuting Yang, Yuhui Shi, Shunren Xia:
Advanced discussion mechanism-based brain storm optimization algorithm. Soft Comput. 19(10): 2997-3007 (2015) - [j25]Haibin Duan
Interactive Learning Environment for Bio-Inspired Optimization Algorithms for UAV Path Planning. IEEE Trans. Educ. 58(4): 276-281 (2015) - [c44]Shi Cheng, Quande Qin
Multimodal optimization using particle swarm optimization algorithms: CEC 2015 competition on single objective multi-niche optimization. CEC 2015: 1075-1082 - [c43]Yuhui Shi:
Brain storm optimization algorithm in objective space. CEC 2015: 1227-1234 - [c42]Zijian Cao, Lei Wang, Yuhui Shi, Xinhong Hei, Xiaofeng Rong, Qiaoyong Jiang, Hongye Li
An effective cooperative coevolution framework integrating global and local search for large scale optimization problems. CEC 2015: 1986-1993 - [c41]Haoyu Zhu, Yuhui Shi:
Brain storm optimization algorithms with k-medians clustering algorithms. ICACI 2015: 107-110 - [c40]Zhensu Yang, Yuhui Shi:
Brain storm optimization with chaotic operation. ICACI 2015: 111-115 - [c39]Zijian Cao, Yuhui Shi, Xiaofeng Rong, Baolong Liu, Zhiqiang Du, Bo Yang:
Random Grouping Brain Storm Optimization Algorithm with a New Dynamically Changing Step Size. ICSI (1) 2015: 357-364 - [c38]Junfeng Chen, Shi Cheng, Yang Chen, Yingjuan Xie, Yuhui Shi:
Enhanced Brain Storm Optimization Algorithm for Wireless Sensor Networks Deployment. ICSI (1) 2015: 373-381 - [c37]Meng Wei, Yuhui Shi:
Brain storm optimization algorithms for optimal coverage of wireless sensor networks. TAAI 2015: 120-127 - [e15]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9140, Springer 2015, ISBN 978-3-319-20465-9 [contents] - [e14]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9141, Springer 2015, ISBN 978-3-319-20471-0 [contents] - [e13]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9142, Springer 2015, ISBN 978-3-319-20468-0 [contents] - 2014
- [j24]Chen Wu, Yifeng Zhang, Yuhui Shi, Li Zhao, Minghai Xin:
Sparse FIR Filter Design Using Binary Particle Swarm Optimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(12): 2653-2657 (2014) - [j23]Yuhui Shi
Developmental Swarm Intelligence: Developmental Learning Perspective of Swarm Intelligence Algorithms. Int. J. Swarm Intell. Res. 5(1): 36-54 (2014) - [j22]Shi Cheng, Yuhui Shi, Quande Qin, Qingyu Zhang, Ruibin Bai
Population Diversity Maintenance In Brain Storm Optimization Algorithm. J. Artif. Intell. Soft Comput. Res. 4(2): 83-97 (2014) - [c36]Shi Cheng
Maintaining population diversity in brain storm optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 3230-3237 - [e12]Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang:
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014, ISBN 978-3-319-13562-5 [contents] - [e11]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8794, Springer 2014, ISBN 978-3-319-11856-7 [contents] - [e10]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8795, Springer 2014, ISBN 978-3-319-11896-3 [contents] - 2013
- [j21]Haibin Duan, Qinan Luo, Yuhui Shi, Guanjun Ma:
Hybrid Particle Swarm Optimization and Genetic Algorithm for Multi-UAV Formation Reconfiguration. IEEE Comput. Intell. Mag. 8(3): 16-27 (2013) - [j20]Changhao Sun, Haibin Duan, Yuhui Shi:
Optimal Satellite Formation Reconfiguration Based on Closed-Loop Brain Storm Optimization. IEEE Comput. Intell. Mag. 8(4): 39-51 (2013) - [j19]Yang Lou
Gravitational Co-evolution and Opposition-based Optimization Algorithm. Int. J. Comput. Intell. Syst. 6(5): 849-861 (2013) - [j18]Shi Cheng
A Study of Normalized Population Diversity in Particle Swarm Optimization. Int. J. Swarm Intell. Res. 4(1): 1-34 (2013) - [j17]Zhou Wu, Tommy W. S. Chow, Shi Cheng
Contour Gradient Optimization. Int. J. Swarm Intell. Res. 4(2): 1-28 (2013) - [j16]Yuhui Shi
Multi-Objective Optimization Based on Brain Storm Optimization Algorithm. Int. J. Swarm Intell. Res. 4(3): 1-21 (2013) - [c35]Shi Cheng
Swarm Intelligence in Big Data Analytics. IDEAL 2013: 417-426 - [c34]Shi Cheng
Particle Swarm Optimization in Regression Analysis: A Case Study. ICSI (1) 2013: 55-63 - [c33]Shi Cheng
Solution clustering analysis in brain storm optimization algorithm. SIS 2013: 111-118 - [c32]Shi Cheng
Particle swarm optimization based nearest neighbor algorithm on Chinese text categorization. SIS 2013: 164-171 - [e9]Ying Tan, Yuhui Shi, Hongwei Mo:
Advances in Swarm Intelligence, 4th International Conference, ICSI 2013, Harbin, China, June 12-15, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7928, Springer 2013, ISBN 978-3-642-38702-9 [contents] - [e8]Ying Tan, Yuhui Shi, Hongwei Mo:
Advances in Swarm Intelligence, 4th International Conference, ICSI 2013, Harbin, China, June 12-15, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7929, Springer 2013, ISBN 978-3-642-38714-2 [contents] - [i1]Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi:
Random Drift Particle Swarm Optimization. CoRR abs/1306.2863 (2013) - 2012
- [j15]Yuhui Shi:
Bio-Inspired Self-Organizing Robotic Systems (Meng, Y. and Jin, Y.; 2011) [Book Review]. IEEE Comput. Intell. Mag. 7(4): 77-80 (2012) - [j14]Junli Li, Yang Lou
An Optimization Algorithm Based on Binary Difference and Gravitational Evolution. Int. J. Comput. Intell. Syst. 5(3): 483-493 (2012) - [j13]Shi Cheng
Population Diversity of Particle Swarm Optimizer Solving Single and Multi-Objective Problems. Int. J. Swarm Intell. Res. 3(4): 23-60 (2012) - [c31]Shi Cheng
Dynamical exploitation space reduction in particle swarm optimization for solving large scale problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Shi Cheng
Particle swarm optimization based semi-supervised learning on Chinese text categorization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c29]Shi Cheng
Population diversity based study on search information propagation in particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c28]Tiew On Ting, Yuhui Shi, Shi Cheng
Exponential Inertia Weight for Particle Swarm Optimization. ICSI (1) 2012: 83-90 - [c27]Dadian Zhou
Brain Storm Optimization Algorithm with Modified Step-Size and Individual Generation. ICSI (1) 2012: 243-252 - [c26]Shi Cheng
On the Performance Metrics of Multiobjective Optimization. ICSI (1) 2012: 504-512 - [c25]Jingqian Xue, Yali Wu, Yuhui Shi, Shi Cheng
Brain Storm Optimization Algorithm for Multi-objective Optimization Problems. ICSI (1) 2012: 513-519 - [e7]Ying Tan, Yuhui Shi, Zhen Ji:
Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part I. Lecture Notes in Computer Science 7331, Springer 2012, ISBN 978-3-642-30975-5 [contents] - [e6]Ying Tan, Yuhui Shi, Zhen Ji:
Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part II. Lecture Notes in Computer Science 7332, Springer 2012, ISBN 978-3-642-31019-5 [contents] - 2011
- [j12]Shi Cheng, Yuhui Shi
Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization: From Population Diversity Perspective. Int. J. Swarm Intell. Res. 2(3): 43-69 (2011) - [j11]Yuhui Shi
An Optimization Algorithm Based on Brainstorming Process. Int. J. Swarm Intell. Res. 2(4): 35-62 (2011) - [j10]Zexuan Zhu, Jiarui Zhou, Zhen Ji, Yuhui Shi:
DNA Sequence Compression Using Adaptive Particle Swarm Optimization-Based Memetic Algorithm. IEEE Trans. Evol. Comput. 15(5): 643-658 (2011) - [c24]Shi Cheng
Promoting Diversity in Particle Swarm Optimization to Solve Multimodal Problems. ICONIP (2) 2011: 228-237 - [c23]Yang Lou
A Differential Evolution based on individual-sorting and individual-sampling strategies. SDE 2011: 33-40 - [c22]Shi Cheng
Normalized Population Diversity in Particle Swarm Optimization. ICSI (1) 2011: 38-45 - [c21]Zheng Zhou, Yuhui Shi:
Inertia Weight Adaption in Particle Swarm Optimization Algorithm. ICSI (1) 2011: 71-79 - [c20]Yuhui Shi:
Brain Storm Optimization Algorithm. ICSI (1) 2011: 303-309 - [c19]Yang Lou
A Novel Search Interval Forecasting Optimization Algorithm. ICSI (1) 2011: 374-381 - [c18]Shi Cheng
Diversity control in particle swarm optimization. SWIS 2011: 110-118 - [e5]Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang:
Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6728, Springer 2011, ISBN 978-3-642-21514-8 [contents] - [e4]Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang:
Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6729, Springer 2011, ISBN 978-3-642-21523-0 [contents] - 2010
- [j9]Chunguo Li, Luxi Yang, Yuhui Shi:
An Asymptotically Optimal Cooperative Relay Scheme for Two-Way Relaying Protocol. IEEE Signal Process. Lett. 17(2): 145-148 (2010) - [e3]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6145, Springer 2010, ISBN 978-3-642-13494-4 [contents] - [e2]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6146, Springer 2010, ISBN 978-3-642-13497-5 [contents]
2000 – 2009
- 2009
- [j8]Yuhui Shi, Russell C. Eberhart:
Monitoring of particle swarm optimization. Frontiers Comput. Sci. China 3(1): 31-37 (2009) - 2008
- [c17]Yuhui Shi, Russell C. Eberhart:
Population diversity of particle swarms. IEEE Congress on Evolutionary Computation 2008: 1063-1067 - [e1]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi:
Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7 [contents] - 2007
- [b1]Russell C. Eberhart, Yuhui Shi:
Computational intelligence - concepts to implementations. Elsevier 2007, ISBN 978-1-55860-759-0, pp. I-XX, 1-467 - 2006
- [j7]Die Hu, Luxi Yang, Yuhui Shi, Lianghua He:
Optimal pilot sequence design for channel estimation in MIMO OFDM systems. IEEE Commun. Lett. 10(1): 1-3 (2006) - 2005
- [c16]Die Hu, Luxi Yang, Lianghua He, Yuhui Shi:
Optimal pilot sequence design for multiple-input multiple-output OFDM systems. GLOBECOM 2005: 5 - 2004
- [j6]Russell C. Eberhart, Yuhui Shi:
Guest Editorial Special Issue on Particle Swarm Optimization. IEEE Trans. Evol. Comput. 8(3): 201-203 (2004) - [c15]Xiaohui Hu, Yuhui Shi, Russell C. Eberhart:
Recent advances in particle swarm. IEEE Congress on Evolutionary Computation 2004: 90-97 - 2003
- [c14]Xiaohui Hu, Russell C. Eberhart, Yuhui Shi:
Engineering optimization with particle swarm. SIS 2003: 53-57 - [c13]Qin Sun, Yuhui Shi, Russell C. Eberhart, William A. Bauson:
Utilizing particle swarm optimization to label a structured beam matrix. SIS 2003: 118-123 - [c12]Xiaohui Hu, Russell C. Eberhart, Yuhui Shi:
Particle swarm with extended memory for multiobjective optimization. SIS 2003: 193-197 - [c11]Xiaohui Hu, Russell C. Eberhart, Yuhui Shi:
Swarm intelligence for permutation optimization: a case study of n-queens problem. SIS 2003: 243-246 - 2002
- [c10]Yuhui Shi, Renato A. Krohling:
Co-evolutionary particle swarm optimization to solve min-max problems. IEEE Congress on Evolutionary Computation 2002: 1682-1687 - [c9]Renato A. Krohling, Helder Knidel, Yuhui Shi:
Solving numerical equations of hydraulic problems using particle swarm optimization. IEEE Congress on Evolutionary Computation 2002: 1688-1690 - 2001
- [c8]Russell C. Eberhart, Yuhui Shi:
Particle swarm optimization: developments, applications and resources. CEC 2001: 81-86 - [c7]Russell C. Eberhart, Yuhui Shi:
Tracking and optimizing dynamic systems with particle swarms. CEC 2001: 94-100 - [c6]Yuhui Shi, Russell C. Eberhart:
Fuzzy adaptive particle swarm optimization. CEC 2001: 101-106 - 2000
- [j5]Zhenya He, Ke Li, Luxi Yang, Yuhui Shi:
TDMA Secure Communication Scheme Based on Synchronization of Chua's Circuits. J. Circuits Syst. Comput. 10(3-4): 147-158 (2000) - [j4]Zhenya He, Luxi Yang, Ju Liu, Ziyi Lu, Chen He, Yuhui Shi:
Blind source separation using clustering-based multivariate density estimation algorithm. IEEE Trans. Signal Process. 48(2): 575-579 (2000) - [c5]Russell C. Eberhart, Yuhui Shi:
Comparing inertia weights and constriction factors in particle swarm optimization. CEC 2000: 84-88
1990 – 1999
- 1999
- [j3]Zhenya He, Luxi Yang, Ju Liu, Ziyi Lu, Chen He, Yuhui Shi:
Approaches for Blind Separation of Sources Based on Multivariate Density Estimation. J. Circuits Syst. Comput. 9(3-4): 243-253 (1999) - [j2]Yuhui Shi, Russell C. Eberhart, Yaobin Chen
Implementation of evolutionary fuzzy systems. IEEE Trans. Fuzzy Syst. 7(2): 109-119 (1999) - [c4]Yuhui Shi, Russell C. Eberhart:
Empirical study of particle swarm optimization. CEC 1999: 1945-1950 - [c3]Zhenya He, Yifeng Zhang, Luxi Yang, Yuhui Shi:
Control chaos in nonautonomous cellular neural networks using impulsive control methods. IJCNN 1999: 262-267 - 1998
- [c2]Yuhui Shi, Russell C. Eberhart:
Parameter Selection in Particle Swarm Optimization. Evolutionary Programming 1998: 591-600 - [c1]Russell C. Eberhart, Yuhui Shi:
Comparison between Genetic Algorithms and Particle Swarm Optimization. Evolutionary Programming 1998: 611-616 - 1996
- [j1]Yuhui Shi, Zhen-Ya He, M. N. S. Swamy, M. Omair Ahmad:
A Method for calculating the radius of convergence of an equilibrium Point of a continuous Feedback Neural Network. J. Circuits Syst. Comput. 6(4): 429-434 (1996)
Coauthor Index
[j110] [j107] [j100] [j93] [i27] [j85] [j84] [j80] [j77] [j69] [j63] [j62] [j61] [c81] [c79] [c78] [j57] [j55] [j54] [j53] [j52] [j50] [c73] [c72] [c69] [p3] [p2] [p1] [e29] [j48] [j46] [j45] [c64] [c62] [c60] [c59] [j42] [j40] [j38] [c58] [c57] [c56] [c55] [c52] [j34] [j31] [c50] [c48] [c47] [c46] [i2] [j30] [j29] [j28] [c44] [c38] [j22] [c36] [j18] [j17] [c35] [c34] [c33] [c32] [j13] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [j12] [c24] [c22] [c18]
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