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ORCIDCEC 2001: COEX, Seoul, Korea
- Proceedings of the 2001 Congress on Evolutionary Computation, CEC 2001, COEX, Seoul, Korea, May 27-30, 2001. IEEE 2001, ISBN 0-7803-6657-3
Volume 1
- Marc Ebner
, Patrick Langguth, Jürgen Albert, Mark Shackleton, Rob Shipman:
On neutral networks and evolvability. 1-8 - Tom Smith, Phil Husbands, Michael O'Shea:
Not measuring evolvability: initial investigation of an evolutionary robotics search space. 9-16 - Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Evolutionary dynamics of evolutionary programming in noisy environment. 17-24 - Terry Stewart:
Extrema selection: accelerated evolution on neutral networks. 25-29 - Lionel C. Barnett:
Netcrawling-optimal evolutionary search with neutral networks. 30-37 - James A. Rumpler, Frank W. Moore:
Automatic selection of sub-populations and minimal spanning distances for improved numerical optimization. 38-43 - Hisashi Shimodaira:
A diversity-control-oriented genetic algorithm (DCGA): performance in function optimization. 44-51 - Jian-Ping Li, Márton E. Balázs, Geoffrey T. Parks, P. John Clarkson:
Complexity analysis of evaluating distances in the genetic algorithm using species conservation. 52-59 - Carlos M. Fernandes, Agostinho C. Rosa:
A study on non-random mating and varying population size in genetic algorithms using a royal road function. 60-66 - Márton E. Balázs, Jianping Li, Geoffrey T. Parks, P. John Clarkson:
The effect of distance measure in a GA with species conservation. 67-74 - Tapabrata Ray, Kim-Meow Liew:
A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems. 75-80 - Russell C. Eberhart, Yuhui Shi:
Particle swarm optimization: developments, applications and resources. 81-86 - Yoshikazu Fukuyama, Hirotaka Yoshida:
A particle swarm optimization for reactive power and voltage control in electric power systems. 87-93 - Russell C. Eberhart, Yuhui Shi:
Tracking and optimizing dynamic systems with particle swarms. 94-100 - Yuhui Shi, Russell C. Eberhart:
Fuzzy adaptive particle swarm optimization. 101-106 - Toshifumi Kato, Dario Floreano:
An evolutionary active-vision system. 107-114 - Naoyuki Kubota, Masanori Mihara, Fumio Kojima:
Evolutionary robotics for quasi-ecosystem. 115-120 - Seong-Joo Han, Se-Young Oh:
Evolutionary algorithm based neural network controller optimization for autonomous mobile robot navigation. 121-127 - Matt Quinn:
A comparison of approaches to the evolution of homogeneous multi-robot teams. 128-135 - Tom Smith, Phil Husbands, Michael O'Shea:
Neutral networks in an evolutionary robotics search space. 136-143 - Benjamin I. P. Rubinstein:
Evolving quantum circuits using genetic programming. 144-151 - T. W. Lee, Kay Chen Tan, E. F. Khor:
Control system design unification and automation-a way forward in CACSD via evolutionary computation. 152-161 - Peter J. Bentley, Timothy G. W. Gordon, Jungwon Kim, Sanjeev Kumar:
New trends in evolutionary computation. 162-169 - Cindy Goh, Yun Li:
GA automated design and synthesis of analog circuits with practical constraints. 170-177 - Burcin Aktan, Molly H. Shor, Garrison W. Greenwood, P. Doyle:
Maximizing functional test coverage in ASICs using evolutionary algorithms. 178-182 - Thilo Mahnig, Heinz Mühlenbein:
A new adaptive Boltzmann selection schedule SDS. 183-190 - Alain Cercueil, Olivier François:
Monte Carlo simulation and population-based optimization. 191-198 - Anna L. Buczak, Henry (Hui) Wang:
Optimization of fitness functions with non-ordered parameters by genetic algorithms. 199-206 - Hussein A. Abbass:
MBO: marriage in honey bees optimization-a Haplometrosis polygynous swarming approach. 207-214 - Justin Gan, Kevin Warwick:
Dynamic Niche Clustering: a fuzzy variable radius niching technique for multimodal optimisation in GAs. 215-222 - Tao Xiehuowang Chen:
Problem decomposition-based scalable macro-evolutionary algorithms. 223-231 - Edmund K. Burke, Peter I. Cowling, J. D. Landa Silva:
Hybrid population-based metaheuristic approaches for the space allocation problem. 232-239 - Qiangfu Zhao:
Evolutionary design of neural network tree-integration of decision tree, neural network and GA. 240-244 - John C. Gallagher:
Evolution and analysis of non-autonomous neural networks for walking: reflexive pattern generators. 245-250 - Sin Chun Ng, S. H. Leung:
On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm. 251-255 - Yong Liu, Xin Yao:
Evolving neural networks for Hang Seng stock index forecast. 256-260 - Katya Rodríguez-Vázquez:
Genetic programming in time series modelling: an application to meteorological data. 261-266 - Nikolay I. Nikolaev, Hitoshi Iba:
Genetic programming of polynomial harmonic models using the discrete Fourier transform. 267-274 - Sheri Markose, Edward Tsang, Hakan Er, Abdel Salhi:
Evolutionary arbitrage for FTSE-100 index options and futures. 275-282 - Mak A. Kaboudan:
Compumetric forecasting of crude oil prices. 283-287 - Trichy M. Kethara Pasupathy, Jiandong Liu, Robert G. Wilhelm:
An evolutionary algorithm for spatial allocation of fluidpower valves on valve-stand. 288-295 - Giridhar Kumaran, V. S. R. K. Mouly:
Using evolutionary computation to solve the economic load dispatch problem. 296-301 - Sibylle D. Müller, Ivo F. Sbalzarini, Jens H. Walther, Petros Koumoutsakos:
Evolution strategies for the optimization of microdevices. 302-309 - Chao-Hsien Chu, Chang-Chun Tsai:
A heuristic genetic algorithm for grouping manufacturing cells. 310-317 - Günther Rudolph:
A partial order approach to noisy fitness functions. 318-325 - Si-Eun Lee, Byoung-Tak Zhang, Arnaud Doucet:
Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. 326-331 - Dirk V. Arnold, Hans-Georg Beyer:
Investigation of the (μ, λ)-ES in the presence of noise. 332-339 - Hisao Ishibuchi, Tomoharu Nakaskima:
Three-objective optimization in linguistic function approximation. 340-347 - Gina M. B. Oliveira, Pedro P. B. de Oliveira, Nizam Omar:
Improving genetic search for one-dimensional cellular automata, using heuristics related to their dynamic behavior forecast. 348-355 - Kengo Katayama, Hiroyuki Narihisa:
On fundamental design of parthenogenetic algorithm for the binary quadratic programming problem. 356-363 - Dimitris E. Koulouriotis, Ioannis E. Diakoulakis, Dimitris M. Emiris:
Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling and simulating high-level behavior. 364-371 - Je-Gun Joung, Byoung-Tak Zhang:
Actively searching for committees of RBF networks using Bayesian evolutionary computation. 372-377 - Hoon Kang, Sung-Hwan Jang:
An evolving neural network with the amorphous structure. 378-383 - Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Evolving a cooperative population of neural networks by minimizing mutual information. 384-389 - Joon-Hyun Ahn, Sung-Bae Cho:
Speciated neural networks evolved with fitness sharing technique. 390-396 - John C. Gallagher:
Evolution and analysis of mixed mode neural networks for walking: mixed pattern generators. 397-402 - G. Y. Lee:
Time series perturbation by genetic programming. 403-409 - S. S. Lam:
A genetic fuzzy expert system for stock market timing. 410-417 - Sheri Markose, Edward Tsang, Hakan Er, Abdel Salhi:
Evolutionary arbitrage for FTSE-100 index options and futures. 418-425 - Tak-Chung Fu, Fu-Lai Chung, Vincent Ng, Robert W. P. Luk:
Evolutionary segmentation of financial time series into subsequences. 426-430 - Nihar Trivedi, Wei Lai, Zhongwei Zhang:
Optimizing windows layout by applying a genetic algorithm. 431-435 - Francisco Fernández, Marco Tomassini:
Studying the optimal parameter range of values in PADGP by means of real-life problems. 436-441 - Mrinal Bose, Jongshin Shin, Elizabeth M. Rudnick, Todd Dukes, Magdy Abadir:
A genetic approach to automatic bias generation for biased random instruction generation. 442-448 - Jesús García Herrero, Juan A. Besada, José M. Molina López, Gonzalo de Miguel, Javier Portillo Garcia:
Design of interacting multiple model filters based on evolution strategies. 449-456 - Sung-Soon Choi, Byung-Ro Moon:
A graph-based approach to the sorting network problem. 457-464 - Sandor Markon, Dirk V. Arnold, Thomas Bäck, Thomas Beielstein, Hans-Georg Beyer:
Thresholding-a selection operator for noisy ES. 465-472 - Jinn-Moon Yang, Jorng-Tzong Horng, Cheng-Yan Kao:
Integrating adaptive mutations and family competition with differential evolution for flexible ligand docking. 473-480 - Janet Taylor, Jem J. Rowland, Douglas B. Kell:
Spectral analysis via supervised genetic search with application-specific mutations. 481-486 - Ken-ichi Tokoro:
A statistical selection mechanism of GA for stochastic programming problems. 487-492 - Chang-Yong Lee:
Genetic algorithms with entropy-Boltzmann samplings. 493-500 - Benoît Leblanc, Evelyne Lutton, Bertrand Braunschweig, Hervé Toulhoat:
Improving molecular simulation: a meta optimisation of Monte Carlo parameters. 501-507 - Soo-Yong Shin, Byoung-Tak Zhang:
Bayesian evolutionary algorithms for continuous function optimization. 508-515 - Roger Jonsson, Jacek Malec:
Towards computing the parameters of the simple genetic algorithm. 516-520 - Dong-Yeon Cho, Byoung-Tak Zhang:
Continuous estimation of distribution algorithms with probabilistic principal component analysis. 521-526 - Eik Fun Khor, Kay Chen Tan, Tong Heng Lee:
Multi-objective evolutionary algorithm with non-stationary search space. 527-535 - Stefan Bleuler, Martin Brack, Lothar Thiele, Eckart Zitzler:
Multiobjective genetic programming: reducing bloat using SPEA2. 536-543 - Joshua D. Knowles, David W. Corne:
A comparison of encodings and algorithms for multiobjective minimum spanning tree problems. 544-551 - Jiang Feng Wang, Jacques Periaux:
Multi-point optimization using GAs and Nash/Stackelberg games for high lift multi-airfoil design in aerodynamics. 552-559 - Mayron Rodrigues de Almeida, Silvio Hamacher, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
The energy minimization method: a multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery. 560-567 - Chang-Yong Lee, Xin Yao:
Evolutionary algorithms with adaptive Levy mutations. 568-575 - Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Adaptive encoding for aerodynamic shape optimization using evolution strategies. 576-583 - Hui-Ling Huang, Shinn-Ying Ho:
Mesh optimization for surface approximation using an efficient coarse-to-fine evolutionary algorithm. 584-591 - Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Managing approximate models in evolutionary aerodynamic design optimization. 592-599 - Gregory S. Hornby, Jordan B. Pollack:
The advantages of generative grammatical encodings for physical design. 600-607 - Yuji Sato:
Proposal for a field-evolvable hardware based on a microprocessor incorporated flash memory. 608-615 - Chong H. Lee, Marek A. Perkowski, Douglas V. Hall, David S. Jun:
Self-repairable EPLDs. II. Advanced self-repairing methodology. 616-623 - Chatchawit Aporntewan, Prabhas Chongstitvatana:
A hardware implementation of the Compact Genetic Algorithm. 624-629 - Ho-Sik Seok, Byoung-Tak Zhang:
Evolutionary calibration of sensors using genetic programming on evolvable hardware. 630-634 - Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Michael Korkin, Gary Fehr, Derek Decesare:
Initial evolvability experiments on the CAM-brain machines (CBMs). 635-642 - Masato Takahashi, Hajime Kita:
A crossover operator using independent component analysis for real-coded genetic algorithms. 643-649 - Sebon Ku, Bogju Lee:
A set-oriented genetic algorithm and the knapsack problem. 650-654 - Jun Sakuma, Shigenobu Kobayashi:
Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. 655-662 - Ming Chang, Kazuhiro Ohkura, Kang Ueda:
Some experimental observations of (μ/μ, λ)-evolution strategies. 663-670 - Miguel Rocha, Rui Mendes, Paulo Cortez, José Neves:
Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. 671-678 - Kay Chen Tan, Tong Heng Lee, Ke Ou, Loo Hay Lee:
A messy genetic algorithm for the vehicle routing problem with time window constraints. 679-686 - Robert Hinterding:
Constrained parameter optimisation: equality constraints. 687-692 - Kay Chen Tan, Tong Heng Lee, D. Khoo, Eik Fun Khor:
Constrained evolutionary exploration via genetic structure of packet distribution. 693-703 - Moritoshi Yasunaga, Takahiro Tsuzuku, Kentaro Ushiyama, Ikuo Yoshihara, Jung H. Kim:
Evolvable reasoning hardware: its application to the genome informatics. 704-711 - Shin Ando, Hitoshi Iba:
Inference of gene regulatory model by genetic algorithms. 712-719 - Erina Sakamoto, Hitoshi Iba:
Inferring a system of differential equations for a gene regulatory network by using genetic programming. 720-726
Volume 1
- K. G. Khoo, Ponnuthurai N. Suganthan:
Multiple relational graphs mapping using genetic algorithms. 727-733 - G. P. Scott, Davide I. Clark, Tuan Pham:
A genetic clustering algorithm guided by a descent algorithm. 734-740 - Tuan D. Pham, Michael Wagner, David Clark:
Applications of genetic algorithms, geostatistics, and fuzzy c-means clustering to image segmentation. 741-746 - Alejandro Sierra:
Evolution of Fisher's discriminants. 747-752 - Xiuju Fu, Lipo Wang:
Rule extraction by genetic algorithms based on a simplified RBF neural network. 753-758 - YongSeog Kim, W. Nick Street, Filippo Menczer:
An evolutionary multi-objective local selection algorithm for customer targeting. 759-766 - Robert Cattral, Franz Oppacher, Dwight Deugo:
Supervised and unsupervised data mining with an evolutionary algorithm. 767-774 - Tim Kovacs:
What should a classifier system learn? 775-782 - Benjamin Penyang Liao, Jiah-Shing Chen:
Dynamic trading strategy learning model using learning classifier systems. 783-789 - Linyu Yang, Dwi H. Widyantoro, Thomas Ioerger, John Yen:
An entropy-based adaptive genetic algorithm for learning classification rules. 790-796 - Yasubumi Sakakibara:
Probabilistic logical inference using quantities of DNA strands. 797-804 - Dina Q. Goldin, David Keil:
Interaction, evolution, and intelligence. 805-814 - Garrison W. Greenwood:
Finding solutions to NP problems: philosophical differences between quantum and evolutionary search algorithms. 815-822 - Eugene Eberbach:
Evolutionary computation as a multi-agent search: a -calculus perspective for its completeness and optimality. 823-830 - Reginald L. Walker:
Parallel clustering system using the methodologies of evolutionary computations. 831-838 - Shinhji Chiba, Ken Sugawara, Toshinori Watanabe:
Classification and function estimation of protein by using data compression and genetic algorithms. 839-844 - Kwonmoo Lee, Ju Han Kim, Tae Su Chung, Byoung-Sun Moon, Hoseung Lee, Isaac S. Kohane:
Evolution strategy applied to global optimization of clusters in gene expression data of DNA microarrays. 845-850 - Fred Stentiford:
An evolutionary programming approach to the simulation of visual attention. 851-858 - Ying Tan, Jun Wang:
Nonlinear blind source separation using a genetic algorithm. 859-866 - Mario Koeppen, Xiufen Liu:
Texture detection by genetic programming. 867-872 - Rasmus K. Ursem:
When sharing fails. 873-879 - Fabio Boschetti, Hideyuki Takagi:
Visualization of EC landscape to accelerate EC conversion and evaluation of its effect. 880-886 - Hee-Su Kim, Sung-Bae Cho:
An efficient genetic algorithm with less fitness evaluation by clustering. 887-894 - Daryl Essam, Robert Ian (Bob) McKay:
Adaptive control of partial functions in genetic programming. 895-901