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ORCIDCEC 2002: Honolulu, HI, USA
- Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, Honolulu, HI, USA, May 12-17, 2002. IEEE 2002, ISBN 0-7803-7282-4
Volume 1
- Andrew Meade, David Corne, Richard Sibly
:
Discovering patterns in microsatellite flanks with evolutionary computation by evolving discriminatory DNA motifs. 1-6 - Stevan Jay Anastasoff:
The presence of old Alus in GC-rich regions of the human genome - a genetic algorithm perspective. 7-12 - Dan Ashlock, Andrew Wittrock, Tsui-Jung Wen:
Training finite state machines to improve PCR primer design. 13-18 - Naoki Matsumaru, Silvano Colombano, Klaus-Peter Zauner:
Scouting enzyme behavior. 19-24 - Gary G. Yen, Haiming Lu:
Hierarchical rank density genetic algorithm for radial-basis function neural network design. 25-30 - Kay Chen Tan, Kuntal Sengupta, Tong Heng Lee, Ramasubramanian Sathikannan:
Autonomous registration of disparate spatial data via an evolutionary algorithm toolbox. 31-36 - Robert Thomson, Tughrul Arslan:
An evolutionary algorithm for the multi-objective optimisation of VLSI primitive operator filters. 37-42 - Justin Gan, Kevin Warwick:
Modelling niches of arbitrary shape in genetic algorithms using Niche Linkage in the Dynamic Niche Clustering framework. 43-48 - Jianjun Hu, Erik D. Goodman:
The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. 49-54 - Stefan Droste:
Analysis of the (1+1) EA for a dynamically changing ONEMAX-variant. 55-60 - Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand:
Real-coded evolutionary algorithms with parent-centric recombination. 61-66 - Vic Ciesielski, Dylan Mawhinney:
Prevention of early convergence in genetic programming by replacement of similar programs. 67-72 - Fumiaki Tanaka, Masashi Nakatsugawa, Masahito Yamamoto, Toshikazu Shiba, Azuma Ohuchi:
Towards a general-purpose sequence design system in DNA computing. 73-78 - Soo-Yong Shin, Dongmin Kim, In-Hee Lee, Byoung-Tak Zhang:
Evolutionary sequence generation for reliable DNA computing. 79-84 - Masahito Yamamoto, Atsushi Kameda, Nobuo Matsuura, Toshikazu Shiba, Azuma Ohuchi:
Simulation analysis of hybridization process for DNA computing with concentration control. 85-90 - Masashi Nakatsugawa, Masahito Yamamoto, Toshikazu Shiba, Azuma Ohuchi:
Design of a PCR protocol for improving reliability of PCR in DNA computing. 91-96 - Lino A. Costa, Pedro Oliveira:
An evolution strategy for multiobjective optimization. 97-102 - David J. Caswell, Gary B. Lamont:
Wire-antenna geometry design with multiobjective genetic algorithms. 103-108 - Krzysztof Socha, Marek Kisiel-Dorohinicki:
Agent-based evolutionary multiobjective optimisation. 109-114 - Wayne Pullan:
Optimising multiple aspects of network survivability. 115-120 - René Thomsen, Gary B. Fogel, Thiemo Krink:
A Clustal alignment improver using evolutionary algorithms. 121-126 - Richard O. Day, Jesse B. Zydallis, Gary B. Lamont, Ruth Pachter:
Analysis of fine granularity and building block sizes in the parallel fast messy GA. 127-132 - Jem J. Rowland, Janet Taylor:
Adaptive denoising in spectral analysis by genetic programming. 133-138 - L. Gwenn Volkert:
Levels of adaptation: insights into survival in dynamic environments. 139-144 - Claus N. Bendtsen, Thiemo Krink:
Dynamic memory model for non-stationary optimization. 145-150 - Sibylle D. Müller, Nicol N. Schraudolph, Petros Koumoutsakos:
Step size adaptation in evolution strategies using reinforcement learning. 151-156 - Janet Wiles, Bradley Tonkes:
Visualisation of hierarchical cost surfaces for evolutionary computing. 157-162 - Seung-Ik Lee, Sung-Bae Cho:
Measuring evolvability in evolutionary fuzzy robotics. 163-168 - Kwok Ching Tsui, Jiming Liu:
Evolutionary diffusion optimization.I. Description of the algorithm. 169-174 - Ana Madureira, Carlos Ramos, Sílvio do Carmo Silva:
A coordination mechanism for real world scheduling problems using genetic algorithms. 175-180 - Janusz Kacprzyk, Grazyna Szkatula:
An integer programming approach to inductive learning using genetic algorithm. 181-186 - Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson:
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. 187-192 - Michael J. Watts, Louise Major, Warren Tate:
Evolutionary optimisation of MLP for modelling protein synthesis termination signal efficiency. 193-198 - Dana Landavazo, Gary B. Fogel:
Evolved neural networks for quantitative structure-activity relationships of anti-HIV compounds. 199-204 - Nicholas Geard, Janet Wiles, Jennifer Hallinan, Bradley Tonkes, Benjamin Skellett:
A comparison of neutral landscapes - NK, NKp and NKq. 205-210 - Nicholas Geard, Janet Wiles:
Diversity maintenance on neutral landscapes: an argument for recombination. 211-213 - Alden H. Wright, Jonathan E. Rowe, James R. Neil:
Analysis of the simple genetic algorithm on the single-peak and double-peak landscapes. 214-219 - Hyeon-Kuk Jeong, Se-Young Oh:
Evolutionary programming integrating 3-generation based mutation and local competition based selection. 220-224 - Frederik Lindblad, Peter Nordin, Krister Wolff:
Evolving 3D model interpretation of images using graphics hardware. 225-230 - Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa:
Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. 231-236 - Takaya Yuizono, Yu Wang, Kiminori Satoh, Shigeru Nakayama:
Study on individual recognition for ear images by using genetic local search. 237-242 - Andy Song, Vic Ciesielski, Hugh E. Williams:
Texture classifiers generated by genetic programming. 243-248 - Manuel Clergue, Philippe Collard:
GA-hard functions built by combination of Trap functions. 249-254 - Heinz Mühlenbein, Thilo Mahnig:
A comparison of stochastic local search and population based search. 255-260 - Nam Geun Kim, Jin-Myung Won, Jin S. Lee, Sang Woo Kim:
Local convergence rate of evolutionary algorithm with combined mutation operator. 261-266 - Makoto Iwashita, Hitoshi Iba:
Island model GP with immigrants aging and depth-dependent crossover. 267-272 - Jason M. Daida:
Limits to expression in genetic programming: lattice-aggregate modeling. 273-278 - Thomas Philip Runarsson, Xin Yao:
Continuous selection and self-adaptive evolution strategies. 279-284 - Moritoshi Yasunaga, Kentaro Ushiyama, Noriyuki Aibe, Hidetoshi Fujiwara, Ikuo Yoshiyara, Jung H. Kim:
An evolutionary kernel-based reasoning system using reconfigurable VLSIs: its hardware prototyping and application to the splicing boundary problem. 285-290 - Shin Ando, Erina Sakamoto, Hitoshi Iba:
Modeling genetic network by hybrid GP. 291-296 - Juan Liu, Hitochi Iba:
Selecting informative genes using a multiobjective evolutionary algorithm. 297-302 - Isao Ono, Hiroshi Fujiki, Masaki Ootsuka, Naotoshi Nakashima, Norihiko Ono, Shin-ichi Tate:
Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm. 303-308 - Hung Dinh Nguyen, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
A parallel hybrid genetic algorithm for multiple protein sequence alignment. 309-314 - Shinji Chiba, Ken Sugawara:
Estimation of protein function with an evolutionary dictionary. 315-320 - Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
Online learning of genetic network programming (GNP). 321-326 - Joset A. Etzel:
"Marigolds: " an evolutionary algorithm simulation. 327-332 - Catholijn M. Jonker, A. P. G. de Kock, J. Meijer, Bas Vermeulen:
Deliberate evolution agents: comparing reproduction strategies. 333-338 - Fu-Shiung Hsieh:
Design of evolvable manufacturing processes. 339-344 - Christophe Cambier, Marie Piron, Alain Cardon:
Self-adaptive systems using a massive multi-agent system. 345-350 - Ahmad A. Al-Yamani, Sadiq M. Sait, Hassan R. Barada:
HPTS: heterogeneous parallel tabu search for VLSI placement. 351-355 - K. G. Khoo, Ponnuthurai N. Suganthan:
Objective function decomposition within genetic algorithm. 356-359 - Yasuhito Sano, Hajime Kita:
Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation. 360-365 - Vincenzo Cutello, Emilio Mastriani, Francesco Pappalardo:
An evolutionary algorithm for the T-constrained variation of Minimum Hitting Set problem. 366-371 - Sadiq M. Sait, Mahmood R. Minhas, Junaid A. Khan:
Performance and low power driven VLSI standard cell placement using tabu search. 372-377 - Sang-Keon Oh, Choon-Young Lee, Ju-Jang Lee:
A new distributed evolutionary algorithm for optimization in nonstationary environments. 378-383 - Yun-Chia Liang, Sadan Kulturel-Konak, Alice E. Smith:
Meta heuristics for the orienteering problem. 384-389 - Khaled Rasheed, Xiao Ni, Swaroop Vattam:
Comparison of methods for developing dynamic reduced models for design optimization. 390-395 - Brian Greer, Henri Hakonen, Risto Lahdelma, Risto Miikkulainen:
Numerical optimization with neuroevolution. 396-401 - Alessandro Cincotti, Vincenzo Cutello, Mario Pavone:
Graph partitioning using genetic algorithms with ODPX. 402-406 - Kyung-Joong Kim, Sung-Bae Cho:
Evolving speciated checkers players with crowding algorithm. 407-412 - Donald Sofge, Kenneth A. De Jong, Alan C. Schultz:
A blended population approach to cooperative coevolution for decomposition of complex problems. 413-418 - Tapabrata Ray:
Constrained robust optimal design using a multiobjective evolutionary algorithm. 419-424 - Rajeev Kumar, Prajna P. Parida, Mohit Gupta:
Topological design of communication networks using multiobjective genetic optimization. 425-430 - Anil Bahuman, Khaled Rasheed, Benjamin Bishop:
An evolutionary approach for VLSI standard cell design. 431-436 - Keum-Sung Hwang, Sung-Bae Cho:
Evolving diverse hardwares using speciated genetic algorithm. 437-442 - Chen-Chien J. Hsu, Wei-Yen Wang, Chih-Yung Yu:
Genetic algorithm-derived digital integrators and their applications in discretization of continuous systems. 443-448 - Chin Kuan Ho, Yashwant Prasad Singh, Sze Wei Lee:
Enhancement of a genetic algorithm for optical orthogonal code design using simulated annealing. 449-453 - Hugo de Garis:
Evolvability limits: a case study concerning the modular evolvable capacities (MECs) of a new neural net model for a second generation brain building machine BM2. 454-459 - Jong-Ha Lee, Sung-Bae Cho:
Analysis of direct manipulation in interactive evolutionary computation on fitness landscape. 460-465 - Renato Reder Cazangi, Maurício F. Figueiredo:
Simultaneous emergence of conflicting basic behaviors and their coordination in an evolutionary autonomous navigation system. 466-471 - Yoichi Takenaka, Akihiro Hashimoto:
DNA computing by competitive hybridization for maximum satisfiability problem. 472-476 - Bin Wu, Yi Zheng, Shaohui Liu, Zhongzhi Shi:
CSIM: a document clustering algorithm based on swarm intelligence. 477-482 - Dong Hwa Kim, Won Pyo Hong, Jin Ill Park:
Auto-tuning of reference model based PID controller using immune algorithm. 483-488 - Buthainah Al-Kazemi, Chilukuri K. Mohan:
Multi-phase generalization of the particle swarm optimization algorithm. 489-494 - Alistair G. Sutcliffe, Wei-Chun Chang, Richard Neville:
Optimizing system requirements with evolutionary computation. 495-499 - Chumniao Wang, William Y. C. Soh, Han Wang, Hui Wang:
A hierarchical genetic algorithm for path planning in a static environment with obstacles. 500-505 - Chun-Wei Tsai, Cheng-Fa Tsai, Chi-Ping Chen:
Novel multiple-searching genetic algorithm for multimedia multicast routing. 506-511 - Chen Wen, Russell C. Eberhart:
Genetic algorithm for logistics scheduling problem. 512-516 - Dipankar Dasgupta, Alexei Stoliartchouk:
Evolving PC system hardware configurations. 517-522 - Isamu Watanabe, Kenji Okada, Ken-ichi Tokoro, Shouichi Matsui:
Adaptive multiagent model of electric power market with congestion management. 523-528 - Artemis Moroni, Fernando J. Von Zuben, Jônatas Manzolli, A. Mammana:
Capturing human judgment to simulate objective function. 529-534 - Julio CCsar HemBndez, Pedro Isasi, Arturo Ribagorda:
Easing collision finding in cryptographic primitives with genetic algorithms. 535-539 - Bahram Kimiaghalam, Abdollah Homaifar, Marwan Bikdash, Bijan Sayyarrodsari:
Genetic algorithm based gain scheduling. 540-545 - Yasuhiro Tsujimura, Mitsuo Gen, Admi Syarif:
Solving a nonlinear side constrained transportation problem by using spanning tree-based genetic algorithm. 546-551 - Gerry V. Dozier:
A comparison of adaptive virtual constraint identification strategies for recurrent dynamic constraint satisfaction. 552-557 - Yuanxiang Li, Lishan Kang:
Analysis of optimal trajectory on evolutionary algorithm and some control strategies. 558-563 - Eugene Eberbach:
On expressiveness of evolutionary computation: is EC algorithmic? 564-569 - Kai Willadsen, Janet Wiles:
All binary representations are equal: but some are more equal than others. 570-575 - Pavel Popela, Jan Roupec, Pavel Osmera, Radomil Matousek:
The formal stochastic framework for comparison of genetic algorithms. 576-581 - Ágoston E. Eiben, Márk Jelasity:
A critical note on experimental research methodology in EC. 582-587 - Mark Coletti:
A preliminary study of learnable evolution methodology implemented with C4.5. 588-593 - Shinn-Ying Ho, Chia-Cheng Liu, Soundy Liu, Jun-Wen Jou:
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm. 594-599 - James R. Watson, Janet Wiles:
The rise and fall of learning: a neural network model of the genetic assimilation of acquired traits. 600-605 - Michael J. Watts, Nikola K. Kasabov:
Evolutionary optimisation of evolving connectionist systems. 606-610 - M. A. Guinea, Germán Gutiérrez, Inés María Galván, Araceli Sanchis, José M. Molina:
Generative capacities of grammars codification for evolution of NN architectures. 611-616 - Pang Ki Kim, Prahlad Vadakkepat, Tong Heng Lee, Xiao Peng:
Evolution of control systems for mobile robots. 617-622 - Alex v. E. Conradie, Risto Miikkulainen, Chris Aldrich:
Intelligent process control utilising symbiotic memetic neuro-evolution. 623-628 - Sven E. Eklund:
A massively parallel GP engine in VLSI. 629-633 - Shengyong Chen, Youfu Li:
Optimum viewpoint planning for model-based robot vision. 634-639 - Kunihiko Mori, Syougo Nishi, Takayasu Fuchida, Sadayuki Murashima:
Two dimensional resolution improvement of frame images by genetic algorithms. 640-645 - Adnan Acan:
Reciprocal translocation with adaptive segment length. 646-651 - Yong Liu, Xin Yao:
How to control search step size in fast evolutionary programming. 652-656 - Ambedkar Dukkipati, M. Narasimha Murty:
Selection by parts: 'selection in two episodes' in evolutionary algorithms. 657-662 - Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen, Hisao Ishibuchi:
Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. 663-668 - Verena V. Hafner, Ralf Salomon:
Evolving neural controllers for visual navigation. 669-674 - Dong Hwa Kim:
Tuning of 2-DOF PID controller by immune algorithm. 675-680 - Jong-Wook Kim, Sang Woo Kim, PooGyeon Park, Tae Joon Park:
On the similarities between binary-coded GA and real-coded GA in wide search space. 681-686 - Marco A. Janssen, Daniel W. Stow:
An application of immunocomputing to the evolution of rules for ecosystem management. 687-692 - Fernando Niño, Oscar Beltran:
A change detection software agent based on immune mixed selection. 693-698 - Leandro Nunes de Castro, Jon Timmis:
An artificial immune network for multimodal function optimization. 699-704 - Fabio A. González, Dipankar Dasgupta, Robert Kozma:
Combining negative selection and classification techniques for anomaly detection. 705-710 - Joshua D. Knowles, David Corne:
On metrics for comparing nondominated sets. 711-716 - Christine L. Valenzuela:
A simple evolutionary algorithm for multi-objective optimization (SEAMO). 717-722 - Ali Farhang-Mehr, Shapour Azarm:
Diversity assessment of Pareto optimal solution sets: an entropy approach. 723-728 - Troy Tassier, Mark P. Everson, David A. Ostrowski:
Agent-based models as a complement to economic theory: a durable goods example. 729-734 - Mark P. Everson, Christophe G. E. Mangin, Cody Stumpo, John M. Schwartz, David A. Ostrowski:
Evaluating strategies for foreign exchange risk reduction. 735-740 - David A. Ostrowski, Troy Tassier, Mark Everson, Robert G. Reynolds:
Using cultural algorithms to evolve strategies in agent-based models. 741-746 - George Schleis, Mateen M. Rizki:
Learning from a random player using the reference neuron model. 747-752 - Duncan Crutchley, Mark Zwolinski:
Using evolutionary and hybrid algorithms for DC operating point analysis of nonlinear circuits. 753-758 - Charles L. Karr, Thomas A. Zeiler, Rajiv Mehrotra:
Determining critical gust loads on aircraft structures using an evolutionary algorithm. 759-764 - Ryuji Goto, Yuji Sato:
Applicability of genetic algorithms to motion analysis of a moving object. 765-770 - Zoran Stejic, Eduardo Masato Iyoda, Yasufumi Takama, Kaoru Hirota:
Image similarity computation using local similarity patterns generated by genetic algorithm. 771-776 - Thomas Beielstein, Sandor Markon:
Threshold selection, hypothesis tests, and DOE methods. 777-782 - Marcus Hutter:
Fitness uniform selection to preserve genetic diversity. 783-788 - Yong Liang, Kwong-Sak Leung:
Two-way mutation evolution strategies. 789-794 - Hemh E. Aguirre, Kiyoshi Tanaka:
Parallel varying mutation genetic algorithms. 795-800 - Wenjian Luo, Xian-Bin Cao, Xufa Wang:
An immune genetic algorithm based on immune regulation. 801-806 - Steve Cayzer, Uwe Aickelin:
A recommender system based on the immune network. 807-812 - Daryl Bradley, Andy M. Tyrrell:
A hardware immune system for benchmark state machine error detection. 813-818 - Carlos A. Coello Coello, Nareli Cruz Cortés:
A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: preliminary results. 819-824 - Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler:
Scalable multi-objective optimization test problems. 825-830 - Hussein A. Abbass:
The self-adaptive Pareto differential evolution algorithm. 831-836 - Zhong-Yao Zhu, Kwong-Sak Leung:
Asynchronous self-adjustable island genetic algorithm for multi-objective optimization problems. 837-842 - Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Comparison of data structures for storing Pareto-sets in MOEAs. 843-848 - Jon J. Brewster, Robert G. Reynolds, Monica Brockmeyer:
Not in my backyard: a simulation of the effects of agent mobility on environmental poisoning. 849-854 - Nestor Rychtyckyj, Robert G. Reynolds:
Knowledge base maintenance using cultural algorithms: application to the DLMS manufacturing process planning system at Ford Motor Company. 855-860 - Robert G. Reynolds, Alina Lazar:
Simulating the evolution of archaic states. 861-866 - Steven J. Goodhall, Robert G. Reynolds, Robert Whallon:
Altruism, selfishness, and survival: an agent-based model of sharing behavior. 867-871 - Yung-Chien Lin, Kao-Shing Hwang, Feng-Sheng Wang:
Hybrid differential evolution with multiplier updating method for nonlinear constrained optimization problems. 872-877 - Bart G. W. Craenen, Ágoston E. Eiben:
An experimental comparison of SAWing EAs for a new class of random binary CSPs. 878-883 - Sana Ben Hamida, Marc Schoenauer:
ASCHEA: new results using adaptive segregational constraint handling. 884-889 - Xiufen Zou, Lishan Kang, Yuanxiang Li:
A dynamical evolutionary algorithm for constrained optimization problems. 890-895 - Arthur K. Kordon, Guido Smits, Elsa M. Jordaan, Ed Rightor:
Robust soft sensors based on integration of genetic programming, analytical neural networks, and support vector machines. 896-901 - Antonio Berlanga, Jesús García Herrero, José M. Molina, Juan A. Besada, Javier I. Portillo:
OCR parameters tuning by means of evolution strategies for aircraft's tail number recognition. 902-907 - Kay Chen Tan, Tong Heng Lee, Ji Cai, Yoong Han Chew:
Automating the drug scheduling of cancer chemotherapy via evolutionary computation. 908-913 - Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Evolutionary computation approach to Wiener model identification. 914-919 - Alysson M. Costa, Patrícia A. Vargas, Fernando J. Von Zuben, Paulo Morelato França:
Makespan minimization on parallel processors: an immune-based approach. 920-925 - Andrew B. Watkins, Lois C. Boggess:
A resource limited artificial immune classifier. 926-931 - John J. Cheh:
A heuristic approach to efficient production of detector sets for an artificial immune algorithm-based bankruptcy prediction system. 932-937 - Alexander O. Tarakanov, Victor A. Skormin:
Pattern recognition by immunocomputing. 938-943 - Haiming Lu, Gary G. Yen:
Rank-density based multiobjective genetic algorithm. 944-949 - Hisao Ishibuchi, Tadsahi Yoshida, Tadahiko Murata:
Selection of initial solutions for local search in multiobjective genetic local search. 950-955 - Marco Farina:
A neural network based generalized response surface multiobjective evolutionary algorithm. 956-961 - B. Anthony Kadrovach, Jesse B. Zydallis, Gary B. Lamont:
Use of mendelian pressure in a multi-objective genetic algorithm. 962-967 - Masaya Shinkai, Hernán E. Aguirre, Kiyoshi Tanaka:
Mutation strategy improves GAs performance on epistatic problems. 968-973 - Shigeyoshi Tsutsui, David E. Goldberg:
Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution. 974-979 - Dirk Thierens:
Adaptive mutation rate control schemes in genetic algorithms. 980-985 - Michael A. Lones, Andy M. Tyrrell:
Crossover and bloat in the functionality model of enzyme genetic programming. 986-991 - Claus N. Bendtsen, Thiemo Krink:
Phone routing using the dynamic memory model. 992-997 - Jiangning Xu, Tughrul Arslan, Dejun Wan, Qing Wang:
GPS attitude determination using a genetic algorithm. 998-1002 - Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar:
A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. 1003-1008 - Nivedita Sumi Majumdar, Dipankar Dasgupta:
Determining optimal configuration for turbine generator cooler. 1009-1014
Volume 2
- Jungwon Kim, Peter J. Bentley:
Towards an artificial immune system for network intrusion detection: an investigation of dynamic clonal selection. 1015-1020 - Roberto Michelan, Fernando J. Von Zuben:
Decentralized control system for autonomous navigation based on an evolved artificial immune network. 1021-1026 - Kevin P. Anchor, Paul D. Williams, Gregg H. Gunsch, Gary B. Lamont:
The computer defense immune system: current and future research in intrusion detection. 1027-1032 - Surya P. N. Singh, Scott M. Thayer, Wesley P. Thayer:
A foundation for kilorobotic exploration. 1033-1038 - Dipankar Dasgupta, Nivedita Sumi Majumdar:
Anomaly detection in multidimensional data using negative selection algorithm. 1039-1044 - Justin Balthrop, Stephanie Forrest, Matthew R. Glickman:
Revisiting LISYS: parameters and normal behavior. 1045-1050 - Carlos A. Coello Coello, Maximino Salazar Lechuga:
MOPSO: a proposal for multiple objective particle swarm optimization. 1051-1056 - Alexandre P. Alves da Silva, Pedro José Abrao:
Applications of evolutionary computation in electric power systems. 1057-1062 - Djalma M. Falcão:
Genetic algorithms applications in electrical distribution systems. 1063-1068 - Kwang Y. Lee, Parvez Syed Mohamed:
A real-coded genetic algorithm involving a hybrid crossover method for power plant control system design. 1069-1074 - Ikas N. Kassabalidis, Mohamed A. El-Sharkawi, Robert J. Marks II:
Border identification for power system security assessment using neural network inversion: an overview. 1075-1079 - Vladimiro Miranda, Nuno Fonseca:
EPSO - best-of-two-worlds meta-heuristic applied to power system problems. 1080-1085 - Timothy E. Revello, Robert McCartney:
Generating war game strategies using a genetic algorithm. 1086-1091 - Shinn-Ying Ho, Zhen-Bang Huang, Shinn-Jang Ho:
An evolutionary approach for pose determination and interpretation of occluded articulated objects. 1092-1097 - Fernando Rojas, Carlos García Puntonet, Ignacio Rojas, Julio Ortega, Arieto Prieto:
Genetic algorithm approach to nonlinear blind source separation. 1098-1102 - Pierre Collet, Jean Louchet, Evelyne Lutton:
Issues on the optimisation of evolutionary algorithms code. 1103-1108 - Philip Hingston, Luigi Barone, Lyndon While:
Evolving crushers. 1109-1114 - Diego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner:
Evolutionary algorithm for speech segmentation. 1115-1120 - Yan Qiao, Weixin Xie:
A Network IDS with low false positive rate. 1121-1126 - Evan J. Hughes:
Multi-objective evolutionary guidance for swarms. 1127-1132 - Fernando Jiménez, Antonio F. Skarmeta-Gómez, Gracia Sánchez, Kalyanmoy Deb:
An evolutionary algorithm for constrained multi-objective optimization. 1133-1138 - Kiam Heong Ang, Gregory Chong, Yun Li:
Preliminary statement on the current progress of multi-objective evolutionary algorithm performance measurement. 1139-1144 - Nateri K. Madavan:
Multiobjective optimization using a Pareto differential evolution approach. 1145-1150 - Matthieu Basseur, Franck Seynhaeve, El-Ghazali Talbi:
Design of multi-objective evolutionary algorithms: application to the flow-shop scheduling problem. 1151-1156 - Jason D. Lohn, William F. Kraus, Gary L. Haith:
Comparing a coevolutionary genetic algorithm for multiobjective optimization. 1157-1162 - Anil K. Seth:
Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite variety. 1163-1168 - Bryant A. Julstrom:
A scalable genetic algorithm for the rectilinear Steiner problem. 1169-1173 - Nasser Sadati, S Kuchakkhani:
Genetic approach to pole placement by static output feedback. 1174-1179 - Masao Iwamatsu:
Co-evolutionary global optimization algorithm. 1180-1184 - Peter I. Cowling, Graham Kendall, Limin Han:
An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem. 1185-1190 - Paul J. Darwen:
Search landscape of a realistic single-machine scheduling task: peaks with big differences. 1191-1196 - Edmund K. Burke, Patrick De Causmaecker, Sanja Petrovic, Greet Vanden Berghe:
A multi criteria meta-heuristic approach to nurse rostering. 1197-1202 - Jingpeng Li, Raymond S. K. Kwan:
A fuzzy evolutionary approach with Taguchi parameter setting for the set covering problem. 1203-1208 - Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba:
Overfitting avoidance in genetic programming of polynomials. 1209-1214 - Manfred M. Fischer:
A novel modular product unit neural network for modelling constrained spatial interaction flows. 1215-1220 - Taichirou Endou, Qiangfu Zhao:
Generation of comprehensible decision trees through evolution of training data. 1221-1225 - Celso Y. Ishida, Aurora T. R. Pozo:
GPSQL Miner: SQL-grammar genetic programming in data mining. 1226-1231 - Mamoru Minami, Atsushi Tamamura, Toshiyuki Asakura:
Machine intelligence of a mobile manipulator to utilize dynamically interfered motion and nonlinear friction. 1232-1237 - Ioannis A. Sarafis, Ali M. S. Zalzala, Philip W. Trinder:
A genetic rule-based data clustering toolkit. 1238-1243 - E. Avgerinos, Ali M. S. Zalzala, G. Zografos:
Towards evolutionary optimisation for high resolution bathymetry from sidescan sonars. 1244-1249 - Tadeusz Burczynski, Wacok Kus, Ewa Majchrzak, Piotr Orantek, Mirek Dziewonski:
Evolutionary computation in identification of a tumor. 1250-1254 - Francesco Cupertino, David Naso, Luigi Salvatore, Biagio Turchiano:
Design of cascaded controllers for DC drives using evolutionary algorithms. 1255-1260 - Malgorzata Chrzanowska-Jeske, Garrison W. Greenwood, Benyi Wang:
Combining evolution strategies with Lagrangian relaxation for constructing nonslicing VLSI floorplans with soft modules. 1261-1266 - Richard Canham, Andy M. Tyrrell:
Evolved fault tolerance in evolvable hardware. 1267-1271 - Kay Chen Tan, Chee-Meng Chew, Kok Kiong Tan, L. F. Wang, Y. J. Chen:
Autonomous robot navigation via intrinsic evolution. 1272-1277 - Chengjian Wei, Zhenya He, Yifeng Zhang, Wenjiang Pei:
Swarm directions embedded in fast evolutionary programming. 1278-1283 - Kwok Ching Tsui, Jiming Liu:
Evolutionary diffusion optimization. II. Performance assessment. 1284-1289 - Huai-Kuang Tsai, Jinn-Moon Yang, Cheng-Yan Kao:
Solving traveling salesman problems by combining global and local search mechanisms. 1290-1295 - Daniel A. Ashlock, Ling Guo, Fang Qiu:
Greedy closure evolutionary algorithms. 1296-1301 - Kay Chen Tan, Arthur Tay, Tong Heng Lee, C. M. Heng:
Mining multiple comprehensible classification rules using genetic programming. 1302-1307 - Hamid Ghezelayagh, Kwang Y. Lee:
Intelligent predictive control of a power plant with evolutionary programming optimizer and neuro-fuzzy identifier. 1308-1313 - Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung:
A hybrid approach to learn Bayesian networks using evolutionary programming. 1314-1319 - Xin Xu, Hangen He, Dewen Hu:
Evolutionary adaptive-critic methods for reinforcement learning. 1320-1325 - Nguyen Xuan Hoai, Robert Ian (Bob) McKay, Daryl Essam, R. Chau:
Solving the symbolic regression problem with tree-adjunct grammar guided genetic programming: the comparative results. 1326-1331 - Masaharu Munetomo:
Linkage identification based on epistasis measures to realize efficient genetic algorithms. 1332-1337 - Sanjoy Das:
Gene SPILL: an evolutionary algorithm based on bacterial gene exchange. 1338-1342 - Kosuke Yamamoto, Tomohiro Yoshikawa, Takeshi Furuhashi, Tsuyoshi Shinogi, Shinji Tsuruoka:
Evaluation of search performance of bacterial evolutionary algorithm. 1343-1347 - Tom Smith, Andrew Philippides, Phil Husbands, Michael O'Shea:
Neutrality and ruggedness in robot landscapes. 1348-1353 - Marc Toussaint, Christian Igel:
Neutrality: a necessity for self-adaptation. 1354-1359 - Rob Shipman, Mark Shackleton:
Issues in designing a neutral genotype-phenotype mapping. 1360-1365 - Walling R. Cyre:
Learning grammars with a modified classifier system. 1366-1371 - Rasmus K. Ursem, Thiemo Krink:
Genetic programming with smooth operators for arithmetic expressions: diviplication and subdition. 1372-1377 - Shinn-Ying Ho, Tai-Kang Chen, Shinn-Jang Ho:
Design of high performance fuzzy controllers using flexible parameterized membership functions and intelligent genetic algorithms. 1378-1383 - Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Coevolutionary design of Takagi-Sugeno fuzzy systems. 1384-1389 - Roberto Santana, Heinz Mühlenbein:
Blocked stochastic sampling versus Estimation of Distribution Algorithms. 1390-1395 - Dong-Yeon Cho, Byoung-Tak Zhang:
Evolutionary optimization by distribution estimation with mixtures of factor analyzers. 1396-1401 - Yuji Katsumata, Setuya Kurahashi, Takao Terano:
We need multiple solutions for electric equipments configuration in a power plant - applying Bayesian optimization algorithm with Tabu search. 1402-1407 - James Edward Davis, Graham Kendall:
An investigation, using co-evolution, to evolve an Awari player. 1408-1413 - Raj Subbu, Arthur C. Sanderson:
Network performance of distributed coevolutionary agents. 1414-1419 - John Cartlidge, Seth Bullock:
Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. 1420-1425 - David D. B. van Bragt, Johannes A. La Poutré:
Co-evolving automata negotiate with a variety of opponents. 1426-1431 - Taiji Satoh, Heijiro Kuwabara, Masakazu Kanezashi, Koichi Nara:
Artificial life system and its application to multiple-fuel economic load dispatch problem. 1432-1437 - Suiliong Liang, Nur Zincir-Heywood, Malcolm I. Heywood:
The effect of routing under local information using a social insect metaphor. 1438-1443 - Luk Schoofs, Bart Naudts:
Swarm intelligence on the binary constraint satisfaction problem. 1444-1449 - Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo:
Evolving ant colony systems in hardware for random number generation. 1450-1455 - Xiao-Feng Xie, Wen-Jun Zhang, Zhilian Yang:
Dissipative particle swarm optimization. 1456-1461 - Tim M. Blackwell, Peter J. Bentley:
Improvised music with swarms. 1462-1467 - Jouni Lampinen:
A constraint handling approach for the differential evolution algorithm. 1468-1473 - Thiemo Krink, Jakob Vesterstrom, Jacques Riget:
Particle swarm optimisation with spatial particle extension. 1474-1479 - Ji Hun Koo, Tae-Seon Kim, Sung Soo Dong, Chong Ho Lee:
Development of FPGA based adaptive image enhancement filter system using genetic algorithms. 1480-1485 - Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda, Giovanni Squillero:
Efficient machine-code test-program induction. 1486-1491 - Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi:
Graph-based individual representation for evolutionary synthesis of arithmetic circuits. 1492-1497 - Ralf Salomon:
The force model: reducing the complexity by reformulating the problem. 1498-1503 - Kittipong Boonlong, Nachol Chaiyaratana, Suwat Kuntanapreeda:
Using a co-operative co-evolutionary genetic algorithm to solve optimal control problems in a hysteresis system. 1504-1509 - Hugues Bersini:
And the winner is...Not the fittest [coevolution]. 1510-1515 - Bo Yuan:
Deterministic crowding, recombination and self-similarity. 1516-1521 - Yukikazu Murakami, Hiroshi Sato, Akira Namatame:
Realizing unstable social efficiency with mutual learning of meta-rules. 1522-1527 - Otto J. Wittner, Bjarne E. Helvik:
Cross entropy guided ant-like agents finding dependable primary/backup path patterns in networks. 1528-1533 - Ronald V. Bjarnason, Todd S. Peterson:
Multi-agent learning via implicit opponent modeling. 1534-1539 - Márk Jelasity, Mike Press, Ben Paechter:
A scalable and robust framework for distributed applications. 1540-1545 - Andrew B. Watkins, Lois C. Boggess:
A new classifier based on resource limited artificial immune systems. 1546-1551 - Shin Ando, Hitsohi Iba:
Ant algorithm for construction of evolutionary tree. 1552-1557 - Christian Blum, Michael Sampels:
Ant colony optimization for FOP shop scheduling: a case study on different pheromone representations. 1558-1563 - Michael Schreyer, Günther R. Raidl:
Letting ants labeling point features [sic.: for 'labeling' read 'label']. 1564-1569 - Jakob Vesterstrom, Jacques Riget, Thiemo Krink:
Division of labor in particle swarm optimisation. 1570-1575 - Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimization for minimax problems. 1576-1581 - Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Particle swarm optimization for integer programming. 1582-1587 - Morten Løvbjerg, Thiemo Krink:
Extending particle swarm optimisers with self-organized criticality. 1588-1593 - Dave Harris, Seth Bullock:
Enhancing game theory with coevolutionary simulation models of honest signalling. 1594-1599 - R. Paul Wiegand, William C. Liles, Kenneth A. De Jong:
Analyzing cooperative coevolution with evolutionary game theory. 1600-1605 - Toby Ord, Alan Blair:
Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemma. 1606-1611 - Hajime Murao, Hisashi Tamaki, Shinzo Kitamura:
A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms. 1612-1617 - Kevin P. Anchor, Gary B. Lamont, Gregg H. Gunsch:
An evolutionary programming approach for detecting novel computer network attacks. 1618-1623 - Chun-Wei Tsai, Cheng-Fa Tsai, Chi-Ping Chen:
A novel multiple-searching genetic algorithm for multimedia multicast routing. 1624-1629 - Chao-Hsien Chu, Junhua Gu, Xiangdan Hou, Qijun Gu:
A heuristic ant algorithm for solving QoS multicast routing problem. 1630-1635 - Cheng-Fa Tsai, Chun-Wei Tsai, Ching-Chang Tseng:
A new approach for solving large traveling salesman problem. 1636-1641 - Junaid A. Khan, Sadiq M. Sait, Mahmood R. Minhas:
Fuzzy biasless simulated evolution for multiobjective VLSI placement. 1642-1647 - Haiming Lu, Gary G. Yen:
Dynamic population size in multiobjective evolutionary algorithms. 1648-1653 - Hussein A. Abbass, Nguyen Xuan Hoai, Robert I. McKay:
AntTAG: a new method to compose computer programs using colonies of ants. 1654-1659 - Jih Tsung Yang, Hsien-Da Huang, Jorng-Tzong Horng:
Devising a cost effective baseball scheduling by evolutionary algorithms. 1660-1665 - Xiaohui Hu, Russell C. Eberhart:
Adaptive particle swarm optimization: detection and response to dynamic systems. 1666-1670 - James Kennedy, Rui Mendes:
Population structure and particle swarm performance. 1671-1676 - Xiaohui Hu, Russell C. Eberhart:
Multiobjective optimization using dynamic neighborhood particle swarm optimization. 1677-1681 - Yuhui Shi, Renato A. Krohling:
Co-evolutionary particle swarm optimization to solve min-max problems. 1682-1687 - Renato A. Krohling, Helder Knidel, Yuhui Shi:
Solving numerical equations of hydraulic problems using particle swarm optimization. 1688-1690 - Tim M. Blackwell, Peter J. Bentley:
Don't push me! Collision-avoiding swarms. 1691-1696 - Jonathan Vincent:
A comparison of reproductive success and the effect of mating restrictions in coarse-grained parallel genetic algorithms. 1697-1702 - Kwong-Sak Leung, Kin-Hong Lee, Sin Man Cheang:
Evolving parallel machine programs for a multi-ALU processor. 1703-1708 - Xiaodong Li, Michael Kirley:
The effects of varying population density in a fine-grained parallel genetic algorithm. 1709-1714 - Kazunori Kojima, Hiroshi Matsuo, Masaaki Ishigame:
Reduction of communication quantity for network based parallel GA. 1715-1720 - Andrew Hamilton-Wright, Deborah A. Stacey:
Fault-tolerant network computation of individuals in genetic algorithms. 1721-1726 - Germán Galeano Gil, Francisco Fernández, Marco Tomassini, Leonardo Vanneschi:
Studying the influence of synchronous and asynchronous parallel GP on programs length evolution. 1727-1732 - Jeffrey A. Joines, Michael G. Kay:
Hybrid genetic algorithms and random linkage. 1733-1738 - Ruijian Zhang, Willis K. King, Qingdong Wang:
Applying evolutionary programming to improve branch classification in the hybrid branch prediction method using Switch-Counter. 1739-1744 - Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
A symbiotic evolutionary algorithm for dynamic facility layout problem. 1745-1750 - Dipti Srinivasan, Tian Hou Seow, Jianxin Xu:
Automated time table generation using multiple context reasoning for university modules. 1751-1756 - Kenneth O. Stanley, Risto Miikkulainen:
Efficient evolution of neural network topologies. 1757-1762 - Yan Wang, Yilong Lu:
The fast neural network solution for problems based on slow genetic algorithm solutions. 1763-1768 - David J. Edwards, Keith E. Brown, Nick K. Taylor:
An evolutionary method for the design of generic neural networks. 1769-1774 - Daniel Weingaertner, Victor K. Tatai, Ricardo R. Gudwin, Femando J J. Von Zuben:
Hierarchical evolution of heterogeneous neural networks. 1775-1780 - Tim Kovacs:
Performance and population state metrics for rule-based learning systems. 1781-1786 - Akiko Aizawa:
A co-evolutionary framework for clustering in information retrieval systems. 1787-1792 - Cin-Young Lee, Erik K. Antonsson:
Reinforcement learning in steady-state cellular genetic algorithms. 1793-1797 - Luis Miramontes Hercog, Terence C. Fogarty:
Co-evolutionary classifier systems for multi-agent simulation. 1798-1803 - Yin Yee Wai, Chi Kin Chow, Tong Lee:
Resolving ambiguity in depth extraction for motion capture using genetic algorithm. 1804-1809 - Markus J. Kaiser, Kwok Ching Tsui, Jiming Liu:
Adaptive distributed caching. 1810-1815 - Sudhakar Chavali, Anil Pahwa, Sanjoy Das:
A genetic algorithm approach for optimal distribution feeder restoration during cold load pickup. 1816-1819 - Igor E. Golovkin, Sushil J. Louis, Roberto C. Mancini:
Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopy. 1820-1824 - Burcin Aktan, Garrison W. Greenwood, Molly H. Shor:
Improving evolutionary algorithm performance on maximizing functional test coverage of ASICs using adaptation of the fitness criteria. 1825-1829 - Adrian Stoica, Ricardo Salem Zebulum, Didier Keymeulen, Michael I. Ferguson, Vu Duong:
Fuzzy controller implementations with fewer than ten transistors? 1830-1835 - Jon Bird, Paul J. Layzell:
The evolved radio and its implications for modelling the evolution of novel sensors. 1836-1841 - Raymond H. Mazza, Clare Bates Congdon:
Towards a genetic algorithms approach to designing 3D polygonal tree models. 1842-1847 - Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Advantages of global discrete recombination in (μ/μ, λ)-evolution strategies. 1848-1853 - Oleg G. Monakhov, Emilia A. Monakhova:
Using evolutionary algorithm for generation of dense families of circulant networks. 1854-1859 - Jianxin Xu, Sanjib Kumar Panda, Qing Zheng:
Multiobjective optimization of current waveforms for switched reluctance motors by genetic algorithm. 1860-1865 - Xiaodan Wu, Chao-Hsien Chu, Yunfeng Wang, Weli Yan:
A genetic algorithm for integrated cell formation and layout decisions. 1866-1871 - Josh C. Bongard:
Evolving modular genetic regulatory networks. 1872-1877 - Peter R. W. Harvey, David M. Booth, James F. Boyce:
Evolving the mapping between input neurons and multi-source imagery. 1878-1883 - Brijesh K. Verma, Ranadhir Ghosh:
A novel evolutionary neural learning algorithm. 1884-1889 - Xiuju Fu, Lipo Wang:
A GA-based RBF classifier with class-dependent features. 1890-1894 - Gary G. Yen, Nethrie Nithianandan:
Facial feature extraction using genetic algorithm. 1895-1900 - Brian Blaha, Donald C. Wunsch II:
Evolutionary programming to optimize an assembly program. 1901-1903 - Thomas Beielstein, Jan Dienstuhl, Christian Feist, Marc Pompl:
Circuit design using evolutionary algorithms. 1904-1909 - Ricardo M. Hoar, Joanne K. Penner, Christian Jacob:
Evolutionary swarm traffic: if ant roads had traffic lights. 1910-1915 - Xiuju Fu, Lipo Wang:
Rule extraction from an RBF classifier based on class-dependent features. 1916-1921 - Peter Mordaunt, Ali M. S. Zalzala:
Towards an evolutionary neural network for gait analysis. 1922-1927 - Steve S. H. Ling, Hak-Keung Lam, Frank H. F. Leung, Peter Kwong-Shun Tam:
Learning of neural network parameters using a fuzzy genetic algorithm. 1928-1933 - Özer Ciftcioglu:
GA with orthogonal transformation for RBFN configuration. 1934-1939 - Kang-Hee Lee, Chi-Ho Lee, Jong-Hwan Kim, Han-Lim Choi, Min-Jea Tahk:
Evolutionary optimized pitching motion control for F-16 aircraft. 1940-1945 - Chee Keong Chan, Hoay Beng Gooi, Meng-Hiot Lim:
Co-evolutionary algorithm approach to a university timetable system. 1946-1951 - Simon M. Lucas:
Evolving spring-mass models: a test-bed for graph encoding schemes. 1952-1957 - Rodolfo Torres-Velázquez, Vladimir Estivill-Castro:
A memetic algorithm instantiated with selection sort consistently finds global optima for the error-correcting graph isomorphism. 1958-1963 - Seong-Joo Kim, Jong-Soo Kim, Jae-Yong Seo, Hyun-Chan Cho, Hong-Tae Jeon:
Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithm. 1964-1969 - Elio Tuci, Matt Quinn, Inman Harvey:
Evolving fixed-weight networks for learning robots. 1970-1975 - Shinichi Oeda, Takumi Icmmura, Toshiyuki Yamashita:
Biological immune system by evolutionary adaptive learning of neural networks. 1976-1981 - Yongsheng Ding, Lihong Ren:
A new DNA-based evolutionary algorithm with application to the design of fuzzy controllers. 1982-1987 - Dan W. Taylor, David W. Corne, David L. Taylor, Jack Harkness:
Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets. 1988-1993 - Liu Xin, Prahlad Vadakkepat, Tong Heng Lee, Xiao Peng, Pang Ki Kim:
Comparison of Khepera robot navigation by evolutionary neural networks and pain-based algorithm. 1994-1999 - Roberto Kawakami Harrop Galvão, Victor M. Becerra, Magda Abou-Seada:
Variable selection for financial distress classification using a genetic algorithm. 2000-2005 - Nils Svangård, Peter Nordin, Stefan Lloyd, Clas Wihlborg:
Evolving short-term trading strategies using genetic programming. 2006-2010 - Takahiro Hamada, Hidenori Kawamura, Masahito Yamamoto, Azuma Ohuchi:
A study on behavioral structure of artificial market based on adaptive game. 2011-2016 - Kazuko Yamasaki, Kazuhisa Kitakaze, Masuteru Sekiguchi:
Dynamic optimization by evolutionary algorithms applied to financial time series. 2017-2022 - Tommaso Minerva, Sandra Paterlini:
Evolutionary approaches for statistical modelling. 2023-2028 - Dave Cliff:
Evolution of market mechanism through a continuous space of auction-types. 2029-2034
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