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CEC 2003: Canberra, Australia
- Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, Canberra, Australia, December 8-12, 2003. IEEE 2003, ISBN 0-7803-7804-0
Volume 1
- Yuren Zhou, Yuanxing Li, Jun He, Lishan Kang:
Multi-objective and MGG evolutionary algorithm for constrained optimization. 1-5 - Efrén Mezura-Montes
, Carlos A. Coello Coello
Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems. 6-13 - Jhingzi Li, Lishan Kang, Zhijian Wu:
An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithms. 14-21 - Shigeyoshi Tsutsui, Tomoyuki Hiroyasu, Mitsunori Miki:
The effect of introducing a tag node in solving scheduling problems using histogram based sampling algorithms. 22-29 - Thomas Jansen, R. Paul Wiegand:
Sequential versus parallel cooperative coevolutionary (1+1) EAs. 30-37 - Mohamed Mohideen Anver, Russel J. Stonier:
A coevolutionary approach for optimization of image enhancement filters. 38-45 - Dan Ashlock, Elizabeth Blankenship, Jonathan Gandrud:
A note on general adaptation in populations of painting robots. 46-53 - Ricardo M. Hoar, Joanne K. Penner, Christian Jacob:
Transcription and evolution of a virtual bacteria culture. 54-61 - Per Kristian Lehre, Pauline C. Haddow:
Developmental mappings and phenotypic complexity. 62-68 - Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with learning and evolution for adapting to dynamical environments. 69-76 - Kay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai:
Development of a distributed evolutionary computing package. 77-84 - Irman Hermadi
Genetic algorithm based test data generator. 85-91 - Jin-Hyuk Hong
MEH: modular evolvable hardware for designing complex circuits. 92-99 - Xing Quan Zuo, Shi Yong Li:
Design of a fuzzy logical controller by immune algorithm with application to an inverted pendulum system. 100-106 - Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi, Antonio Parlato:
An evolutionary approach for reducing the switching activity in address buses. 107-114 - Naofumi Homma, Masanori Natsui, Takafumi Aoki, Tatsuo Higuchi:
VLSI circuit design using an object-oriented framework of evolutionary graph generation system. 115-122 - Dipankar Dasgupta, Zhou Ji, Fabio A. González
Artificial immune system (AIS) research in the last five years. 123-130 - Andrew Secker, Alex Alves Freitas
AISEC: an artificial immune system for e-mail classification. 131-138 - Jacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont:
Novel steganography detection using an artificial immune system approach. 139-145 - Leandro Nunes de Castro
The immune response of an artificial immune network (aiNet). 146-153 - Yasuhiro Takahashi, Yasuhito Kawano, Masahiro Kitagawa:
On the computational power of constant-depth quantum circuits with gates for addition. 154-161 - Tianhai Tian
Stochastic neural network models for gene regulatory networks. 162-169 - André Leier
Exploring the search space of quantum programs. 170-177 - Kuk-Hyun Han, Jong-Hwan Kim:
On setting the parameters of quantum-inspired evolutionary algorithm for practical application. 178-194 - Kai Willadsen, Janet Wiles
Dynamics of gene expression in an artificial genome. 185-190 - Peter Eggenberger Hotz:
Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolution. 191-198 - Nicholas Geard
Structure and dynamics of a gene network model incorporating small RNAs. 199-206 - Shin Ando
Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. 207-214 - D. W. van der Merwe, Andries P. Engelbrecht:
Data clustering using particle swarm optimization. 215-220 - Yongling Zheng, Longhua Ma, Liyan Zhang, Ji-Xin Qian:
Empirical study of particle swarm optimizer with an increasing inertia weight. 221-226 - Ulrich Paquet, Andries P. Engelbrecht:
A new particle swarm optimiser for linearly constrained optimisation. 227-233 - Nelis Franken, Andries P. Engelbrecht:
Comparing PSO structures to learn the game of checkers from zero knowledge. 234-241 - Lirong Tian, Tughrul Arslan:
A genetic algorithm for energy efficient device scheduling in real-time systems. 242-247 - Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
Evolving data classification programs using genetic parallel programming. 248-255 - Adnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren:
A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. 256-263 - Gary Gréwal, Mike O'Cleirigh, Mark Wineberg:
An evolutionary approach to behavioural-level synthesis. 264-272 - Sébastien Vérel
Where are bottlenecks in NK fitness landscapes? 273-280 - Michael Defoin-Platel, Manuel Clergue
Homology gives size control in genetic programming. 281-288 - Leonardo Vanneschi
Fitness distance correlation in genetic programming: a constructive counterexample. 289-296 - Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. 297-304 - Gianluigi Folino
Diversity analysis in cellular and multipopulation genetic programming. 305-311 - René Thomsen, Gary B. Fogel, Thiemo Krink:
Improvement of clustal-derived sequence alignments with evolutionary algorithms. 312-319 - Clare Bates Congdon, Kevin J. Septor:
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data. 320-326 - Jakob Vesterstrom:
Physical mapping using annealing and evolutionary algorithms. 327-334 - Kay C. Wiese, Alain Deschênes, Edward Glen:
Permutation-based RNA secondary structure prediction via a genetic algorithm. 335-342 - Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes:
A distributed genetic algorithm for RNA secondary structure prediction. 343-350 - Simon M. Lucas
Learning DFA: evolution versus evidence driven state merging. 351-358 - Magdalena D. Bugajska, Alan C. Schultz:
Anytime coevolution of form and function. 359-366 - Henry Kwong, Christian Jacob:
Evolutionary exploration of dynamic swarm behaviour. 367-374 - Sadiq M. Sait, Mostafa I. H. Abd-El-Barr, Uthman S. Al-Saiari, Bambang A. B. Sarif:
Digital circuit design through simulated evolution (SimE). 375-381 - Robert Thomson, Tughrul Arslan:
On the impact of modelling, robustness and diversity to the performance of a multi-objective evolutionary algorithm for digital VLSI system design. 382-389 - Terri Oda, Tony White:
Increasing the accuracy of a spam-detecting artificial immune system. 390-396 - Lei Wang, Béat Hirsbrunner:
An evolutionary algorithm with population immunity and its application on autonomous robot control. 397-404 - Jungwon Kim, Arlene Ong, Richard E. Overill:
Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sector. 405-412 - Johnny Kelsey, Jonathan Timmis
Chasing chaos. 413-419 - Patrícia Amâncio Vargas
Implementation of an immuno-genetic network on a real Khepera II robot. 420-426 - Yaniv Bernstein, Xiaodong Li
Critical dynamics in evolutionary algorithms. 427-434 - Hussein A. Abbass
The discrete gradient evolutionary strategy method for global optimization. 435-442 - Bo Yuan
Playing in continuous spaces: some analysis and extension of population-based incremental learning. 443-450 - Bo Yuan
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator. 451-458 - Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Takeshi Yoshida:
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing. 459-466 - Russel J. Stonier, N. Young:
Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum. 467-473 - Jun Zhang
Pseudo-coevolutionary genetic algorithms for power electronic circuits optimization. 474-481 - Carlos A. Coello Coello
A coevolutionary multi-objective evolutionary algorithm. 482-489 - Joseph A. Rothermich, Fang Wang, Julian Francis Miller:
Adaptivity in cell based optimization for information ecosystems. 490-497 - J. E. Smith:
Co-evolving memetic algorithms: a learning approach to robust scalable optimisation. 498-505 - Shotaro Kamio, Hitoshi Iba:
Real-time adaptation technique to real robots: an experiment with a humanoid robot. 506-513 - Genci Capi, Kenji Doya:
Evolving recurrent neural controllers for sequential tasks: a parallel implementation. 514-519 - Hoi Shun Miu, Kwong-Sak Leung, Yee Leung:
An evolutionary multi-agent system for object recognition in satellite images. 520-527 - Leland Hovey, Dmitri E. Volper, Jae C. Oh
Evolution of optimal compute server clusters for dynamic load-balancing systems. 528-535 - Gary B. Parker, H. Joseph Blumenthal:
Comparison of sampling sizes for the co-evolution of cooperative agents. 536-543 - Jean-Baptiste Gotteland, Nicolas Durand
Genetic algorithms applied to airport ground traffic optimization. 544-551 - Atsuko Mutoh, Tsuyoshi Nakamura, Shohei Kato, Hidenori Itoh:
Reducing execution time on genetic algorithm in real-world applications using fitness prediction: parameter optimization of SRM control. 552-559 - Adnan Acan, Ahmet Ünveren, Yüce Tekol:
Evolutionary estimation of assignment-ordering function for CSP-modeled combinatorial optimization. 560-565 - Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi:
Independent constraint satisfaction and its application to sewerage system control. 566-573 - Renato Reder Cazangi, Fernando J. Von Zuben
A classifier system in real applications for robot navigation. 574-580 - Jianxiong Wang, Tom Downs:
Tuning pattern classifier parameters using a genetic algorithm with an application in mobile robotics. 581-586 - Zhao Xu
Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithm. 587-592 - C. S. Chang, L. R. Lu, F. Wang:
Application of differential evolution for harmonic worst-case identification of mass rapid transit power supply system. 593-599 - Kieun Kim, Chilukuri K. Mohan:
Parallel hierarchical adaptive genetic algorithm for fragment assembly. 600-607 - Yanan Zhang, Wanquan Liu
A learning approach for performance evaluation of local network. 608-614 - Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto:
Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. 615-622 - Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. 623-630 - Shuhei Kimura, Mariko Hatakeyama, Akihiko Konagaya:
Inference of S-system models of genetic networks using a genetic local search. 631-638 - Hidefumi Sawai, Hideaki Suzuki:
Chemical genetic algorithms - coevolutionary genotype-phenotype mapping by modelling of metabolism in cell. 639-646 - Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin
Comparative studies on micro heat exchanger optimisation. 647-654 - Kang Tai
Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm. 655-662 - Lars Willmes, Thomas Bäck
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. 663-670 - Sheng Yin Wang, Kang Tai
A bit-array representation GA for structural topology optimization. 671-677 - Andrew Lim
Using an evolutionary algorithm for bandwidth minimization. 678-683 - Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
Group selection and its application to constrained evolutionary optimization. 684-691 - Holger Ulmer, Felix Streichert, Andreas Zell:
Evolution strategies assisted by Gaussian processes with improved preselection criterion. 692-699 - Jörg Denzinger
Improving migration by diversity. 700-707 - Mostafa I. H. Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman S. Al-Saiari:
A modified ant colony algorithm for evolutionary design of digital circuits. 708-715 - Jaime J. Dávila:
Evolution of hierarchical neural networks for time-dependent cognitive processes: key recognition for musical compositions. 716-722 - Siavash Haroun Mahdavi, Sean Hanna
An evolutionary approach to microstructure optimisation of stereolithographic models. 723-730 - Gunnar Tufte
Identification of functionality during development on a virtual Sblock FPGA. 731-738
Volume 2
- Toru Eguchi, Kotaro Hirasawa, Jinglu Hu:
Symbiotic evolutional models in multiagent systems. 739-746 - Diego Federici:
Combining genes and memes to speed up evolution. 747-754 - Jason Teo
Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creatures. 755-762 - Joe Imae, Yoshiteru Kikuchi, Nobuyuki Ohtsuki, Tomoaki Kobayashi:
A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approach. 763-769 - Stefan Janson, Martin Middendorf:
A hierarchical particle swarm optimizer. 770-776 - Ashraf M. Abdelbar, Suzan Abdelshahid:
Swarm optimization with instinct-driven particles. 777-782 - D. Tsou, Cara MacNish:
Adaptive particle swarm optimisation for high-dimensional highly convex search spaces. 783-789 - Rasmus K. Ursem, Pierré Vadstrup:
Parameter identification of induction motors using differential evolution. 790-796 - Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Zalzala:
Towards effective subspace clustering with an evolutionary algorithm. 797-806 - William B. Langdon, S. J. Barrett, Bernard F. Buxton:
Predicting biochemical interactions - human P450 2D6 enzyme inhibition. 807-814 - L. Augusto Sanabria, Ben Soh, Tharam S. Dillon, L. Chang:
Genetic algorithms in stochastic optimisation. 815-822 - Emilio Miguelañez Martín, Ali M. S. Zalzala, Paul Tabor:
DIWA: device independent wafermap analysis. 823-829 - John R. Woodward:
Evolving Turing Complete representations. 830-837 - Anthony M. L. Liekens, Huub M. M. ten Eikelder, Peter A. J. Hilbers:
Finite population models of dynamic optimization with stochastically alternating fitness functions. 838-845 - Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. 846-853 - Christine L. Mumford
Comparing representations and recombination operators for the multi-objective 0/1 knapsack problem. 854-861 - Feng Xue, Arthur C. Sanderson, Robert J. Graves:
Pareto-based multi-objective differential evolution. 862-869 - Xiaolin Hu, Zhangcan Huang, Zhongfan Wang:
Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms. 870-877 - Tatsuya Okabe, Yaochu Jin
A critical survey of performance indices for multi-objective optimisation. 878-885 - Yuya Sasaki, Hugo de Garis:
Faster evolution and evolvability control of genetic algorithms using a Softmax Mutation method. 886-891 - Simon P. Hammond:
Putting the user in the loop: on-line user adaption of genetic algorithms. 892-897 - Sanyou Zeng, Lixin Ding, Yuping Chen, Lishan Kang:
A new multiobjective evolutionary algorithm: OMOEA. 898-905 - Tao Xie, Lishan Kang:
An evolutionary algorithm for magic squares. 906-913 - Shengjing Mu, Hongye Su, Jian Chu, Yue-Xuan Wang:
An new evolutionary multi-objective optimization algorithm. 914-920 - K. P. Pieters:
Symbiotic networks. 921-927 - Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung:
Applying sample weighting methods to genetic parallel programming. 928-935 - Victor Ciesielski, Xiaodong Li:
Pyramid search: finding solutions for deceptive problems quickly in genetic programming. 936-943 - M. L. Ho, P. T. Chan, Ahmad B. Rad, C. H. Mak:
Truck backing up neural network controller optimized by genetic algorithms. 944-950 - Aimin Zhou, Lishan Kang, Zhenyu Yan:
Solving dynamic TSP with evolutionary approach in real time. 951-957 - Chenn-Jung Huang
Application of neuro-fuzzy technique to the bandwidth reservation for sectored cellular communications. 958-965 - J. Heinonen, Frank Pettersson
Scheduling a specific type of batch process with evolutionary computation. 966-970 - Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
A Taguchi method-based crossover operator for the parametrical problems. 971-977 - Lee K. Graham, Franz Oppacher:
Trying to evolve sorting networks in Echo. 978-982 - C. R. Dias, Luiz Satoru Ochi
Efficient evolutionary algorithms for the clustering problem in directed graphs. 983-990 - Larry Bull, Jacob Hurst:
A neural learning classifier system with self-adaptive constructivism. 991-997 - William A. Greene:
Unsupervised hierarchical clustering via a genetic algorithm. 998-1005 - William A. Greene:
A Kernighan-Lin local improvement heuristic that softens several hard problems in genetic algorithms. 1006-1013 - Nils Svangård, Peter Nordin, Stefan Lloyd:
Using genetic programming with negative parsimony pressure on exons for portfolio optimization. 1014-1017 - Tetsuya Kobayashi, Kazuyuki Aihara:
How does noise propagate in genetic networks? A new approach to understand stochasticity in genetic networks. 1018-1025 - Zhijian Wu, Lishan Kang:
A fast and elitist parallel evolutionary algorithm for solving systems of non-linear equations. 1026-1028 - Wayne Pullan:
Adapting the genetic algorithm to the travelling salesman problem. 1029-1035 - Masataka Tokumaru, Noriaki Muranaka, Shigeru Imanishi:
Virtual Stylist project - examination of adapting clothing search system to user's subjectivity with interactive genetic algorithms. 1036-1043 - Hitoshi Iima, T. Yakawa:
A new design of genetic algorithm for bin packing. 1044-1049 - Wenjun Yin, Min Liu, Cheng Wu:
Learning single-machine scheduling heuristics subject to machine breakdowns with genetic programming. 1050-1055 - John R. Woodward:
GA or GP? That is not the question. 1056-1063 - Kai Wing Tang, Ray A. Jarvis:
Application of genetic algorithms to robotic swarm simulation. 1064-1071 - Eiichi Takashima, Yoshihiro Murata, Naoki Shibata
Self adaptive island GA. 1072-1079 - Yanzhi Li
Resource constraints machine scheduling: a genetic algorithm approach. 1080-1085 - Yusuke Tanimura, Tomoyuki Hiroyasu, Mitsunori Miki:
Discussion on searching capability of distributed genetic algorithm on the grid. 1086-1094 - Toshiharu Hatanaka
Multi-objective structure selection for radial basis function networks based on genetic algorithm. 1095-1100 - Yuji Katsumata, Takao Terano:
Bayesian optimization algorithm for multi-objective solutions: application to electric equipment configuration problems in a power plant. 1101-1107 - Robert T. F. Ah King, Harry C. S. Rughooputh:
Elitist multiobjective evolutionary algorithm for environmental/economic dispatch. 1108-1114 - Hongwei Liu, Hitoshi Iba:
Multi-agent learning by evolutionary subsumption. 1115-1122 - Pier Luca Lanzi
A comparison of relative accuracy and raw accuracy in XCS. 1123-1129 - Susana C. Esquivel, Carlos A. Coello Coello
On the use of particle swarm optimization with multimodal functions. 1130-1136 - Gary B. Parker, Andrey S. Anev, Dejan Duzevik:
Evolving towers in a 3-dimensional simulated environment. 1137-1144 - Helmut A. Mayer, M. Spitzlinger:
Multi-chromosomal representations and chromosome shuffling in evolutionary algorithms. 1145-1149 - Jorge Maturana, María Cristina Riff:
An evolutionary algorithm to solve the short-term electrical generation sheduling problem. 1150-1156 - Andy Auyeung, Ajith Abraham:
Estimating genome reversal distance by genetic algorithm. 1157-1161 - Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
IS-PAES: switching constraints on and off for multiobjective optimization. 1162-1169 - Rich Drewes, Sushil J. Louis, Chris Miles, John R. McDonnell, Nick Gizzi:
Use of case injection to bias genetic algorithm solutions of similar problems. 1170-1177 - K. Yuasa, Kenji Takao, Toru Yamamoto, Takao Hinamoto:
System modeling using GA and control for nonlinear systems. 1178-1185 - Pier Luca Lanzi
XCS with stack-based genetic programming. 1186-1191 - Chris Lai, Rajiv Khosla, Yasue Mitsukura:
GA based optimisation of a multi-agent soft computing model for segmentation and classification of unstained mammalian cell images. 1192-1198 - Kang-Hee Lee, Jong-Hwan Kim:
Parallel evolutionary optimized pitching motion control for F-16 aircraft. 1199-1205 - Ping Zhang
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. 1206-1213 - Peter I. Cowling
Hyperheuristics for managing a large collection of low level heuristics to schedule personnel. 1214-1221 - Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy
Handling integrated quantitative and qualitative search space in a real world optimisation problem. 1222-1229 - Zhenguo Tu, Yong Lu
Global optimization of continuous problems using stochastic genetic algorithm. 1230-1236 - Neelakantam Venkatarayalu
Single and multi-objective design of Yagi-Uda antennas using computational intelligence. 1237-1242 - Yiyuan Gong, Morikazu Nakamura, Takashi Matsumura:
A distributed parallel genetic local search in distributed computing environments. 1243-1250 - Hiroshi Takeichi, Naoaki Mizuguchi, Isao Ono, Norihiko Ono:
A genetic hill climbing method for function optimization using a neighborhood based on interactions among parameters. 1251-1258 - Chuan-Kang Ting, Hans Kleine Büning:
A mating strategy for multi-parent genetic algorithms by integrating tabu search. 1259-1266 - Jano I. van Hemert
Evolving binary constraint satisfaction problem instances that are difficult to solve. 1267-1273 - Wouter Boomsma:
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem. 1274-1279 - K. K. Wong, Tin Kin Ho:
Coast control of train movement with genetic algorithm. 1280-1287 - Yen-Yen Joe, Huan Xu, Zhao Yang Dong, Huck-Hui Ng, Arthur Tay
Searching oligo sets of human chromosome 12 using evolutionary strategies. 1288-1293 - N. Kumarappan, M. R. Mohan:
Hybrid genetic algorithm based fuel restricted real power optimization for utility system. 1294-1301 - Tarapong Sreenuch, Antonios Tsourdos
Lateral acceleration control design of a non-linear homing missile using multi-objective evolutionary optimisation. 1302-1309 - T. D. H. Cau, J. Kaye:
Using constructive evolutionary programming to optimise multi-storage electrical power supply systems operation. 1310-1314 - Marcelo A. A. Araújo, Edilberto P. Teixeira, Fábio R. Camargo, João P. V. Almeida:
Parallel training for neural networks using PVM with shared memory. 1315-1322 - K. Nakayama, Katsunori Shimohara, Osamu Katai:
Proposal of probabilistically and dynamically separating GA. 1323-1330 - Adam Berry
A simplified artificial life model for multiobjective optimisation: a preliminary report. 1331-1339 - Daniel A. Ashlock, Kenneth M. Bryden:
Thermal agents: an application of genetic programming to virtual engineering. 1340-1347 - Yüce Tekol, Adnan Acan:
Ants can play prisoner's dilemma. 1348-1354 - Isamu Watanabe, Shouichi Matsui:
Improving the performance of ACO algorithms by adaptive control of candidate set. 1355-1362 - Zejun Wu, Hongbin Dong, Yiwen Liang, Robert I. McKay:
A chromosome-based evaluation model for computer defense immune systems. 1363-1369 - Vitorino Ramos, Ajith Abraham:
Swarms on continuous data. 1370-1375 - Sébastien Aupetit, V. Bordeau, Nicolas Monmarché, Mohamed Slimane, Gilles Venturini:
Interactive evolution of ant paintings. 1376-1383 - Ajith Abraham, Vitorino Ramos:
Web usage mining using artificial ant colony clustering and linear genetic programming. 1384-1391 - Garrison W. Greenwood:
Adapting mutations in genetic algorithms using gene flow principles. 1392-1397 - Edmund K. Burke
Is increased diversity in genetic programming beneficial? An analysis of lineage selection. 1398-1405 - Carlos Cotta
A study on allelic recombination. 1406-1413 - Thomas Philip Runarsson
Evolutionary search and constraint violations. 1414-1419 - Syed A. Ghazi, Moataz A. Ahmed
Pair-wise test coverage using genetic algorithms. 1420-1424 - Andrew Stacey, Mirjana Jancic, Ian Grundy:
Particle swarm optimization with mutation. 1425-1430 - O. Kittithreerapronchai
Do ants paint trucks better than chickens? Markets versus response thresholds for distributed dynamic scheduling. 1431-1439 - Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou
A first study of fuzzy cognitive maps learning using particle swarm optimization. 1440-1447 - Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Investigating the existence of function roots using particle swarm optimization. 1448-1455 - Otto J. Wittner, Poul E. Heegaard
Scalable distributed discovery of resource paths in telecommunication networks using cooperative ant-like agents. 1456-1465 - J. Dylan Spalding
A genetic algorithm to sequence DNA using sequencing by hybridisation experimental data. 1466-1471 - Bhoomesh Radha, Robert T. F. Ah King, Harry C. S. Rughooputh:
A modified genetic algorithm for optimal electrical distribution network reconfiguration. 1472-1479 - Bing-Yu Sun, De-Shuang Huang:
Support vector clustering for multiclass classification problems. 1480-1485 - Fabrizio Ferrandi
Mining interesting patterns from hardware-software codesign data with the learning classifier system XCS. 1486-1492 - Bruno G. Faria, N. L. de Castro:
Parameter identification of an airship model using evolution strategies. 1493-1499
Volume 3
- Shengwu Xiong, Weiwu Wang:
A new hybrid structure genetic programming in symbolic regression. 1500-1506 - Ming Yuchi, Jong-Hwan Kim:
A grouping-based evolutionary algorithm for constrained optimization problem. 1507-1512 - Yang Hui, Lishan Kang, Zhenyu Yan, Xioufen Zou:
Guiding genetic operators with immunology principle: a case study in TSP. 1513-1519 - Kok Sung Won, Tapabrata Ray
A framework for optimization using approximate functions. 1520-1527 - Sung-Joon Park
GA-based generic method for protein structure comparison. 1528-1535 - Chuan Shi, Yan Li, Lishan Kang:
A new simple and highly efficient multi-objective optimal evolutionary algorithm. 1536-1542 - Lamia Belfares, Adel Guitouni
Multi-objective genetic algorithms for courses of action planning. 1543-1551 - Beatriz de la Iglesia
Data mining rules using multi-objective evolutionary algorithms. 1552-1559 - Andres Angantyr, Johan Andersson, Jan-Olov Aidanpää:
Constrained optimization based on a multiobjective evolutionary algorithm. 1560-1567 - Dominique Francisci, Martine Collard:
Multi-criteria evaluation of interesting dependencies according to a data mining approach. 1568-1574 - Dan Ashlock, Dean C. Adams
Morphometric grayscale texture analysis using foot patterns. 1575-1581 - Satoshi Takahashi, Hajime Kita, Hiromichi Suzuki, Takeshi Sudo, Sandor Markon:
Simulation-based optimization of a controller for multi-car elevators using a genetic algorithm for noisy fitness function. 1582-1587 - Michael Schwind, Tim Stockheim, Franz Rothlauf
Optimization heuristics for the combinatorial auction problem. 1588-1595 - Matt Stine, Dipankar Dasgupta, Suraj Mukatira:
Motif discovery in upstream sequences of coordinately expressed genes. 1596-1603 - Mark R. Knarr, Mark N. Goltz, Gary B. Lamont, Junqi Huang:
In situ bioremediation of perchlorate-contaminated groundwater using a multi-objective parallel evolutionary algorithm. 1604-1611 - J. G. Martin, Khaled Rasheed:
Using singular value decomposition to improve a genetic algorithm's performance. 1612-1617 - Kohsuke Yanai, Hitoshi Iba:
Estimation of distribution programming based on Bayesian network. 1618-1625 - Naoki Mori, Keinosuke Matsumoto:
Adaptation to a dynamical environment by means of the environment identifying genetic algorithm. 1626-1631 - Wee-Chong Oon, Yew Jin Lim:
An investigation on piece differential information in co-evolution on games using Kalah. 1632-1638 - Yin Shan, Robert I. McKay, Hussein A. Abbass
Program evolution with explicit learning. 1639-1646 - John A. Clark:
Nature-inspired cryptography: past, present and future. 1647-1654 - Joanne Fuller, Ed Dawson
Evolutionary generation of bent functions for cryptography. 1655-1661 - Yong Zeng, Jian Feng Ma:
Pseudorandom number generators based on evolutionary algorithm. 1662-1668 - Melanie Middlemiss, Grant Dick:
Weighted feature extraction using a genetic algorithm for intrusion detection. 1669-1675 - Jun-Cheol Jeon, Hye-Young Park, Kee-Young Yoo:
Design of Montgomery multiplication architecture based on programmable cellular automata. 1676-1679 - K. L. Jones, David L. Olmsted:
Genetic design of biologically inspired discrete dynamical basis networks to approximate data sequences. 1680-1687 - Chun Che Fung
A Java-based parallel platform for the implementation of evolutionary computation for engineering applications. 1688-1694 - Andrei Hryshko, Tom Downs:
An implementation of genetic algorithms as a basis for a trading system on the foreign exchange market. 1695-1701 - Joe Imae, Nobuyuki Ohtsuki, Yoshiteru Kikuchi, Tomoaki Kobayashi:
A minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach. 1702-1707 - Permandla Pratibha, Siva Nageswara Rao Borra, Annamalai Muthukaruppan, Sivaprakasam Suresh, V. Kamakoti:
An enhanced evolutionary approach to spatial partitioning for reconfigurable environments. 1708-1715 - Yu Xia, Malgorzata Chrzanowska-Jeske, Benyi Wang:
Core-based SoC test scheduling using evolutionary algorithm. 1716-1723 - Mario Hilgemeier, Nicole Drechsler, Rolf Drechsler
Minimizing the number of one-paths in BDDs by an evolutionary algorithm. 1724-1731 - Laurence D. Merkle
Design optimization for a novel class of high power microwave sources. 1732-1739 - Christian Reinhold, P. Kralicek, Werner John, Jürgen Teich:
Synthesizing passive networks by applying genetic programming and evolution strategies. 1740-1747 - Moritoshi Yasunaga, Ikuo Yoshihara, Jung Hwan Kim:
The design of segmental-transmission-line for high-speed digital signals using genetic algorithms. 1748-1755 - P. Meksangsouy, Nachol Chaiyaratana
DNA fragment assembly using an ant colony system algorithm. 1756-1763 - Sanaz Mostaghim
The role of ε-dominance in multi objective particle swarm optimization methods. 1764-1771 - Xiaodong Li
Comparing particle swarms for tracking extrema in dynamic environments. 1772-1779 - Thomas Bartz-Beielstein
Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. 1780-1787 - C. Leith, Glen Takahara:
A control framework for ant-based routing algorithms. 1788-1795 - Alpay Alkan, Ender Özcan
Memetic algorithms for timetabling. 1796-1802 - David J. Caswell, Gary B. Lamont:
Distributed processor allocation for discrete event simulation and digital signal processing using a multiobjective evolutionary algorithm. 1803-1810 - Leon Poladian
A new algorithm for exploring and optimizing optical fibre designs using a two dimensional genome with latent, redundant and master genes. 1811-1818 - Hongqing Cao, Jingxian Yu, Lishan Kang:
An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy. 1819-1825 - Hung Dinh Nguyen
Improved GA-based method for multiple protein sequence alignment. 1826-1832 - Shinji Chiba, Ken Sugawara:
Function estimation of protein using finite state automaton based on accumulated amino acid residue scores. 1833-1839 - N. Hosoyma, Hitoshi Iba:
3-D visualization of a gene regulatory network: stochastic search for layouts. 1840-1847 - Nora Speer, Peter Merz, Christian Spieth, Andreas Zell:
Clustering gene expression data with memetic algorithms based on minimum spanning trees. 1848-1855 - Yew-Soon Ong
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design. 1856-1863 - Wei-Wen Chang, Chan-Jin Chung, Bernhard Sendhoff
Target shape design optimization with evolutionary computation. 1864-1870 - G. Saravana Kumar
Parameter optimization for B-spline curve fitting using genetic algorithms. 1871-1878 - Maumita Bhattacharya
DAFHEA: a dynamic approximate fitness-based hybrid EA for optimisation problems. 1879-1886 - Keshav P. Dahal, Stuart J. Galloway, Chris J. Aldridge:
Developing GA-based hybrid approaches for a real-world mixed-integer scheduling problem. 1887-1894 - Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
A parallel hybrid GA for combinatorial optimization using grid technology. 1895-1902 - Gary R. Greenfield:
Evolving aesthetic images using multiobjective optimization. 1903-1909 - Yaochu Jin
Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. 1910-1917 - Oliver Giel:
Expected runtimes of a simple multi-objective evolutionary algorithm. 1918-1925 - Andrew Lewis, David Abramson
An evolutionary programming algorithm for multi-objective optimisation. 1926-1932 - S. Ogura, K. Aoi, Tomoyuki Hiroyasu, Mitsunori Miki, Yuko Okamoto:
Energy minimization of protein tertiary structures by local search algorithm and parallel simulated annealing using genetic crossover. 1933-1940 - Hisashi Shimosaka, Tomoyuki Hiroyasu, Mitsunori Miki:
Comparison of pulling back and penalty methods for constraints in DPMBGA. 1941-1948 - Chi-Ho Lee, Ming Yuchi, Jong-Hwan Kim:
Two-phase optimization of fuzzy controller by evolutionary programming. 1949-1956 - Julio J. Valdés, Luis Carlos Molina, N. Peris:
An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining. 1957-1964 - Bin Peng, Robert G. Reynolds, Jon J. Brewster:
Cultural swarms. 1965-1971 - Robert G. Reynolds, Bin Peng, Jon J. Brewster:
Cultural swarms II: virtual algorithm emergence. 1972-1979 - Jeffrey M. Stefan, Robert G. Reynolds, F. Fatouhi, Anthony Aristar, Shiyong Lu, Ming Dong:
Evolution based approaches to the preservation of endangered natural languages. 1980-1987 - Ziad Kobti
A multi-agent simulation using cultural algorithms: the effect of culture on the resilience of social systems. 1988-1995 - Carsten Witt
Population size vs. runtime of a simple EA. 1996-2003 - Jun He, Xin Yao
An analysis of evolutionary algorithms for finding approximation solutions to hard optimisation problems. 2004-2010 - Ruhul Amin Sarker
Population size, search space and quality of solution: an experimental study. 2011-2018 - Thi Thanh Hang Luong, Q. Tuan Pham:
A comparison of the performance of classical methods and genetic algorithms for optimization problems involving numerical models. 2019-2025 - Peter Eggenberger Hotz:
Exploring regenerative mechanisms found in flatworms by artificial evolutionary techniques using genetic regulatory networks. 2026-2033 - Dario Bonino
Dynamic prediction of Web requests. 2034-2041 - Francisco Fernández, Marco Tomassini, Leonardo Vanneschi
Saving computational effort in genetic programming by means of plagues. 2042-2049 - Timothy G. W. Gordon:
Exploring models of development for evolutionary circuit design. 2050-2057 - Vasilis A. Spais, Loukas P. Petrou:
Multiobective motion planning for a nonholonic vehicle. 2058-2065 - Robin C. Purshouse
Evolutionary many-objective optimisation: an exploratory analysis. 2066-2073 - Hussein A. Abbass
Pareto neuro-evolution: constructing ensemble of neural networks using multi-objective optimization. 2074-2080 - Pawan K. S. Nain, Kalyanmoy Deb:
Computationally effective search and optimization procedure using coarse to fine approximations. 2081-2088 - Steven Manos, Leon Poladian
Novel fibre Bragg grating design using multiobjective evolutionary algorithms. 2089-2095 - Hirokazu Nosato, Yuji Kasai, Masahiro Murakawa
Automatic adjustments of a femtosecond-pulses laser using genetic algorithms. 2096-2101 - Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka
Nonlinear state estimation by evolution strategies based particle filters. 2102-2109 - Vitoantonio Bevilacqua
A genetic algorithm approach to full beam configuration inverse planning in coplanar radiotherapy. 2110-2117 - Sushil J. Louis:
Genetic learning from experience. 2118-2125 - Andy Song
Fast texture segmentation using genetic programming. 2126-2133 - Kay Chen Tan
A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems. 2134-2141 - Raymond S. K. Kwan, Paavan Mistry:
A co-evolutionary algorithm for train timetabling. 2142-2148 - Jingpeng Li
A Bayesian optimization algorithm for the nurse scheduling problem. 2149-2156 - William Millan, Joanne Fuller, Ed Dawson
New concepts in evolutionary search for Boolean functions in cryptology. 2157-2164 - Wei Lu
Detecting new forms of network intrusion using genetic programming. 2165-2172 - John A. Clark, Jeremy L. Jacob, Subhamoy Maitra, Pantelimon Stanica:
Almost Boolean functions: the design of Boolean functions by spectral inversion. 2173-2180 - Hao Chen, John A. Clark, Jeremy L. Jacob:
Automated design of security protocols. 2181-2188 - Julio C. Hernandez-Castro
Finding efficient distinguishers for cryptographic mappings, with an application to the block cipher TEA. 2189-2193 - Bobby D. Bryant, Risto Miikkulainen:
Neuroevolution for adaptive teams. 2194-2201 - Julian Garcia, Fernando Niño:
Coevolutionary learning in the tragedy of the commons. 2202-2209 - Stephan K. Chalup
Towards staged evolution of an artificial player for Hex by enlarging the boardsize during training. 2210-2216 - Fulvio Corno
Exploiting co-evolution and a modified island model to climb the Core War hill. 2217-2221 - Siang Yew Chong, Day Chyi Ku, Heng Siong Lim
Evolved neural networks learning Othello strategies. 2222-2229 - Limin Han, Graham Kendall:
An investigation of a tabu assisted hyper-heuristic genetic algorithm. 2230-2237 - André L. V. Coelho
GA-based selection of components for heterogeneous ensembles of support vector machines. 2238-2245 - Shengxiang Yang:
Non-stationary problem optimization using the primal-dual genetic algorithm. 2246-2253
Volume 4
- Hisao Ishibuchi
Effects of repair procedures on the performance of EMO algorithms for multiobjective 0/1 knapsack problems. 2254-2261 - Tatsuya Okabe, Yaochu Jin
Evolutionary multi-objective optimisation with a hybrid representation. 2262-2269 - In-Hee Lee
DNA sequence optimization using constrained multi-objective evolutionary algorithm. 2270-2276 - Richard O. Day, Mark P. Kleeman, Gary B. Lamont:
Solving the multi-objective quadratic assignment problem using a fast messy genetic algorithm. 2277-2283 - Simon Huband, Philip Hingston, Lyndon While, Luigi Barone:
An evolution strategy with probabilistic mutation for multi-objective optimisation. 2284-2291 - Dipti Srinivasan
Particle swarm inspired evolutionary algorithm (PS-EA) for multiobjective optimization problems. 2292-2297 - Graham Kendall, Yan Su:
A multi-agent based simulated stock market - testing on different types of stocks. 2298-2305 - T. D. H. Cau, Edward J. Anderson
A co-evolutionary approach to the tacit collusion of generators in oligopolistic electricity markets: piecewise linear bidding structure case. 2306-2313 - Nicos G. Pavlidis
Financial forecasting through unsupervised clustering and evolutionary trained neural networks. 2314-2321 - Timothy Gosling:
The simple supply chain model and evolutionary computation. 2322-2329 - Chia-Hsuan Yeh:
Is sophisticated hierarchical thinking useful? 2330-2337 - S. D. Flores, Jim E. Smith:
Study of fitness landscapes for the HP model of protein structure prediction. 2338-2345 - Jim E. Smith:
Protein structure prediction with co-evolving memetic algorithms. 2346-2353 - René Thomsen:
Flexible ligand docking using differential evolution. 2354-2361 - Peter A. Whigham:
Critical biodiversity and connectivity. 2362-2369 - Kyung-Joong Kim
Evolving artificial neural networks for DNA microarray analysis. 2370-2377 - Chanho Park, Sung-Bae Cho:
Evolutionary ensemble classifier for lymphoma and colon cancer classification. 2378-2385 - Edwin S. Peer, Andries P. Engelbrecht, Frans van den Bergh:
CIRG@UP OptiBench: a statistically sound framework for benchmarking optimisation algorithms. 2386-2392 - Xiaohu Shi, Yinghua Lu, Chunguang Zhou, Heow Pueh Lee, W. Z. Lin, Yanchun Liang:
Hybrid evolutionary algorithms based on PSO and GA. 2393-2399 - Libiao Zhang, Chunguang Zhou, Xiaohua Liu, Zhiqiang Ma, Ming Ma, Yanchun Liang:
Solving multi objective optimization problems using particle swarm optimization. 2400-2405 - Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo
A new class of operators to accelerate particle swarm optimization. 2406-2410 - Asanga Ratnaweera, Harry C. Watson, Saman K. Halgamuge
Optimisation of valve timing events of internal combustion engines with particle swarm optimisation. 2411-2418 - G. Coath, Saman K. Halgamuge
A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. 2419-2425 - Lutz H. Hamel:
Evolutionary search in inductive equational logic programming. 2426-2433 - Peter J. Thomas, Russel J. Stonier:
Hierarchical fuzzy control in robot soccer using evolving algorithms. 2434-2440 - Ibrahim Kushchu:
Learning, evolution and generalisation. 2441-2448 - Kui-Hong Park, Jong-Hwan Kim:
Two mode Q-learning. 2449-2454 - Grant Dick:
The spatially-dispersed genetic algorithm: an explicit spatial population structure for GAs. 2455-2461 - Marcus Gallagher
Learning to play Pac-Man: an evolutionary, rule-based approach. 2462-2469 - Evan J. Hughes:
Piece difference: simple to evolve? 2470-2473 - Graham Kendall, C. Smith:
The evolution of blackjack strategies. 2474-2481 - Stuart McDonald, Liam Wagner
Using simulated annealing to calculate the trembles of trembling hand perfection. 2482-2489 - Joshua D. Knowles
Bounded archiving using the lebesgue measure. 2490-2497 - Huidong Jin
Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. 2498-2505 - David Corne, Joshua D. Knowles
Some multiobjective optimizers are better than others. 2506-2512 - Kay Chen Tan, Y. J. Yang, Tong Heng Lee:
A distributed cooperative coevolutionary algorithm for multiobjective optimization. 2513-2520 - Kay Chen Tan
Enhanced distribution and exploration for multiobjective evolutionary algorithms. 2521-2528 - Rana Barua, Shantanu Das:
Finite field arithmetic using self-assembly of DNA tilings. 2529-2536 - Danny van Noort
Flows in micro fluidic networks: from theory to simulation. 2537-2541 - Mitsuhiro Kubota, Kazumasa Ohtake, Ken Komiya
Branching DNA machines based on transitions of hairpin structures. 2542-2548 - Su Dong Kim, Ki-Roo Shin, Byoung-Tak Zhang:
Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type. 2549-2556 - Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Evolving adaptive neural networks with and without adaptive synapses. 2557-2564 - Lixin Ding, Sanyou Zeng, Lishan Kang:
A fast algorithm on finding the non-dominated set in multi-objective optimization. 2565-2571 - Kazuyuki Ito, Akio Gofuku:
Emergence of adaptive behaviors by redundant robots - robustness to changes environment and failures. 2572-2579 - Ivan Tanev, Kikuo Yuta:
Epigenetic programming: an approach of embedding epigenetic learning via modification of histones in genetic programming. 2580-2587 - Christian Igel:
Neuroevolution for reinforcement learning using evolution strategies. 2588-2595 - Bo Liu, Bob McKay, Hussein A. Abbass
Improving genetic classifiers with a boosting algorithm. 2596-2602 - Kazunori Kojima, Hiroshi Matsuo, Masaaki Ishigame:
Asynchronous parallel distributed GA using elite server. 2603-2610 - Eugene Eberbach
On the connection between the no free lunch theorem and the trivial property for recursively enumerable languages. 2611-2618 - R. R. Cremonezi, Myriam Regattieri Delgado:
An heuristic-based self-adapting crossover method: additional flexibility in the evolutionary process. 2619-2626 - Johan Berntsson, Maolin Tang
A convergence model for asynchronous parallel genetic algorithms. 2627-2634 - Ashraf M. Abdelbar, M. Mokhtar:
A k-elitist max-min ant system approach to cost-based abduction. 2635-2641 - Hanene Azzag, Nicolas Monmarché, Mohamed Slimane, Gilles Venturini:
AntTree: a new model for clustering with artificial ants. 2642-2647 - Hong Zheng, A. Wong, Saeid Nahavandi:
Hybrid ant colony algorithm for texture classification. 2648-2652 - Matthew D. Russell, John A. Clark, Susan Stepney:
Making the most of two heuristics: breaking transposition ciphers with ants. 2653-2658 - Yi Hong
Genetic algorithm based distance spectrum technique for performance union bound of space-time trellis coded OFDM. 2659-2664 - L. Weng, Zhao Yang Dong:
Optimal design of a regenerative dynamic dynamometer using genetic algorithms. 2665-2672 - Jing-Song Hu, Qi Lun Zheng:
Self-optimizing fuzzy controller based on extreme evolution algorithm. 2673-2677 - Evan J. Hughes:
Multiple single objective Pareto sampling. 2678-2684 - Jesse B. Zydallis, Gary B. Lamont:
Explicit building-block multiobjective evolutionary algorithms for NPC problems. 2685-2695 - B. V. Babu, M. M. L. Jehan:
Differential evolution for multi-objective optimization. 2696-2703 - Nuntapon Sangkawelert, Nachol Chaiyaratana
Diversity control in a multi-objective genetic algorithm. 2704-2711 - Shengwu Xiong, Feng Li:
Parallel strength Pareto multi-objective evolutionary algorithm for optimization problems. 2712-2718 - Mitsunori Takano, Hironori K. Nakamura, Junichi Higo, Masaki Sasai:
Molecular dynamics simulation using coarse-grained model to study protein function and beyond. 2719-2726 - W. C. Moon, A. Nishikawa, Tatsuo Yoshinobu
Patterned surface as a template for DNA-based nanotechnology. 2727-2732 - A. J. Neel:
Efficiency and reliability of genomic information storage and retrieval in DNA-based memories with compaction. 2733-2739 - John A. Rose, Masami Hagiya, Akira Suyama:
The fidelity of the tag-antitag system II: reconciliation with the stringency picture. 2740-2747 - Kiyoharu Tagawa, Tetsuya Yamamoto, T. Igaki, S. Seki:
An Imanishian genetic algorithm for the optimum design of surface acoustic wave filter. 2748-2755 - Zhaohui Fu, Andy Kurnia, Andrew Lim
Shortest path problem with cache dependent path lengths. 2756-2761 - Gaofeng Huang, Andrew Lim
A hybrid genetic algorithm for three-index assignment problem. 2762-2768 - Shahram Jafari, Ray Jarvis:
A genetic off-line tuner for robotic humanoid visual perception. 2769-2776 - Ibrahim Kuschchu:
A story of the artificial ant: discovering the correct bias for learning. 2777-2784 - Mitchell A. Potter, Jeffrey K. Bassett, Kenneth A. De Jong:
Visualizing evolvability with Price's equation. 2785-2790 - Róbert Ványi, Szilvia Zvada:
Avoiding syntactically incorrect individuals via parameterized operators applied on derivation trees. 2791-2798 - Chien-Feng Huang, Luis M. Rocha
Exploration of RNA editing and design of robust genetic algorithms. 2799-2806 - Chien-Feng Huang:
The role of crossover in an immunity based genetic algorithm for multimodal function optimization. 2807-2814 - Di Liu, Xuefeng Zhu:
Application of immunological memory to the color classification of tiles. 2815-2820 - Mikael Bodén
Using evolutionary noise to improve prediction of rapidly evolving targeting peptides. 2821-2828 - Norikatsu Nagino, Seiji Yamada:
Future View: Web navigation based on learning user's browsing patterns by classifier systems. 2829-2836 - S. A. Haque, A. B. M. Zohrul Kabir, Ruhul A. Sarker
Optimization model for opportunistic replacement policy using genetic algorithm with fuzzy logic controller. 2837-2843 - Mario Köppen, Aureli Soria-Frisch
Using soft computing for a prototype collagen plate inspection system. 2844-2850
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