IEEE Transactions on Evolutionary Computation, Volume 9

Volume 9, Number 1, February 2005

• Efrén Mezura-Montes, Carlos A. Coello Coello:
  A simple multimembered evolution strategy to solve constrained optimization problems. 1-17
  
• Jean-Charles Créput, Abderrafiaa Koukam, Thomas Lissajoux, Alexandre Caminada:
  Automatic mesh generation for mobile network dimensioning using evolutionary approach. 18-30
  
• Federico Divina, Elena Marchiori:
  Handling continuous attributes in an evolutionary inductive learner. 31-43
  
• David Jackson:
  Evolution of Processor microcode. 44-54
  
• Yupei Xiong, Bruce L. Golden, Edward A. Wasil:
  A one-parameter genetic algorithm for the minimum labeling spanning tree problem. 55-60
  
• Sukumar Mishra:
  A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation. 61-73
  
• Xiang Wu, Bayan S. Sharif, Oliver R. Hinton:
  An improved resource allocation scheme for plane cover multiple access using genetic algorithm. 74-81
  
• Ester Bernadó-Mansilla, Tin Kam Ho:
  Domain of competence of XCS classifier system in complexity measurement space. 82-104
  
• Sung-Soon Choi, Byung Ro Moon:
  A graph-based Lamarckian-Baldwinian hybrid for the sorting network problem. 105-114
  

Volume 9, Number 2, 2005

• Ibrahim Kushchu:
  Web-based evolutionary and adaptive information retrieval. 117-125
  
• Enrique Alba, Bernabé Dorronsoro:
  The exploration/exploitation tradeoff in dynamic cellular genetic algorithms. 126-142
  
• Soo-Yong Shin, In-Hee Lee, Dongmin Kim, Byoung-Tak Zhang:
  Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. 143-158
  
• Christian Blum, Marco Dorigo:
  Search bias in ant colony optimization: on the role of competition-balanced systems. 159-174
  
• Aaron C. Zecchin, Angus R. Simpson, Holger R. Maier, John B. Nixon:
  Parametric study for an ant algorithm applied to water distribution system optimization. 175-191
  
• Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang:
  An evolutionary algorithm with guided mutation for the maximum clique problem. 192-200
  
• Melanie Aurnhammer, Klaus D. Tönnies:
  A genetic algorithm for automated horizon correlation across faults in seismic images. 201-210
  
• Tathagato Rai Dastidar, P. P. Chakrabarti, Partha Ray:
  A synthesis system for analog circuits based on evolutionary search and topological reuse. 211-224
  

Volume 9, Number 3, 2005

• Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywood:
  Training genetic programming on half a million patterns: an example from anomaly detection. 225-239
  
• Siang Y. Chong, Mei K. Tan, Jonathon D. White:
  Observing the evolution of neural networks learning to play the game of Othello. 240-251
  
• M. Andrea Rodríguez, Mary Carmen Jarur:
  A genetic algorithm for searching spatial configurations. 252-270
  
• Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer:
  Cooperative coevolution of artificial neural network ensembles for pattern classification. 271-302
  
• Yaochu Jin, Jürgen Branke:
  Evolutionary optimization in uncertain environments-a survey. 303-317
  
• Shotaro Kamio, Hitoshi Iba:
  Adaptation technique for integrating genetic programming and reinforcement learning for real robots. 318-333
  

Volume 9, Number 4, August 2005

• Jason Teo, Hussein A. Abbass:
  Multiobjectivity and Complexity in Embodied Cognition. 337-360
  
• Josh C. Bongard, Hod Lipson:
  Nonlinear System Identification Using Coevolution of Models and Tests. 361-384
  
• Jonathan Hallam, Adam Prügel-Bennett:
  Large Barrier Trees for Studying Search. 385-397
  
• Garrison W. Greenwood:
  On the Practicality of Using Intrinsic Reconfiguration for Fault Recovery. 398-405
  
• Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso:
  Parallel Implementation of EDAs Based on Probabilistic Graphical Models. 406-423
  
• Sangameswar Venkatraman, Gary G. Yen:
  A Generic Framework for Constrained Optimization Using Genetic Algorithms. 424-435
  

Volume 9, Number 5, October 2005

• Tetsuyuki Takahama, Setsuko Sakai:
  Constrained optimization by applying the /spl alpha/ constrained method to the nonlinear simplex method with mutations. 437-451
  
• Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
  Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. 452-473
  
• Natalio Krasnogor, James Smith:
  A tutorial for competent memetic algorithms: model, taxonomy, and design issues. 474-488
  
• Mario Giacobini, Marco Tomassini, Andrea Tettamanzi, Enrique Alba:
  Selection intensity in cellular evolutionary algorithms for regular lattices. 489-505
  
• Jimmy Pettersson, Mattias Wahde:
  Application of the utility function method for behavioral organization in a locomotion task. 506-521
  
• Anthony J. Bagnall, George D. Smith:
  A multiagent model of the UK market in electricity generation. 522-536
  

Volume 9, Number 6, December 2005

• Siang Yew Chong, Xin Yao:
  Behavioral diversity, choices and noise in the iterated prisoner's dilemma. 540-551
  
• Hisao Ishibuchi, Naoki Namikawa:
  Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing. 552-561
  
• Nelis Franken, Andries Petrus Engelbrecht:
  Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma. 562-579
  
• Sevan G. Ficici, Ofer Melnik, Jordan B. Pollack:
  A game-theoretic and dynamical-systems analysis of selection methods in coevolution. 580-602
  
• Kwang Mong Sim, Yuanshi Wang:
  Evolutionary asymmetric games for modeling systems of partially cooperative agents. 603-614
  
• Kyung-Joong Kim, Sung-Bae Cho:
  Systematically incorporating domain-specific knowledge into evolutionary speciated checkers players. 615-627
  
• Thomas Philip Runarsson, Simon M. Lucas:
  Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go. 628-640
  
• James M. Vaccaro, Clark C. Guest:
  Planning an endgame move set for the game RISK: a comparison of search algorithms. 641-652
  
• Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
  Real-time neuroevolution in the NERO video game. 653-668
  
• S. J. Louis, C. Miles:
  Playing to learn: case-injected genetic algorithms for learning to play computer games. 669-681
  
• R. W. Johnson, M. E. Melich, Zbigniew Michalewicz, Martin Schmidt:
  Coevolutionary optimization of fuzzy logic intelligence for strategic decision support. 682-694
  
• Fulvio Corno, Ernesto Sánchez, Giovanni Squillero:
  Evolving assembly programs: how games help microprocessor validation. 695-706
  
• Robert G. Reynolds, Ziad Kobti, Timothy A. Kohler, L. Y. L. Yap:
  Unraveling ancient mysteries: reimagining the past using evolutionary computation in a complex gaming environment. 707-720
  
• David H. Wolpert, William G. Macready:
  Coevolutionary free lunches. 721-735