GECCO 2004: Seattle, WA, USA

A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization

• Adrian K. Agogino, Kagan Tumer:
  Efficient Evaluation Functions for Multi-rover Systems. 1-11
  
• Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill, Robin Matthews, Ernesto Costa:
  A Particle Swarm Model of Organizational Adaptation. 12-23
  
• Thang Nguyen Bui, Joseph R. Rizzo:
  Finding Maximum Cliques with Distributed Ants. 24-35
  
• Thang Nguyen Bui, Gnanasekaran Sundarraj:
  Ant System for the k-Cardinality Tree Problem. 36-47
  
• Darren M. Chitty, Marcel L. Hernandez:
  A Hybrid Ant Colony Optimisation Technique for Dynamic Vehicle Routing. 48-59
  
• David Cornforth, Michael Kirley:
  Cooperative Problem Solving Using an Agent-Based Market. 60-71
  
• Dara Curran, Colm O'Riordan:
  Cultural Evolution for Sequential Decision Tasks: Evolving Tic-Tac-Toe Players in Multi-agent Systems. 72-80
  
• Keith L. Downing:
  Artificial Life and Natural Intelligence. 81-92
  
• Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma:
  Bluenome: A Novel Developmental Model of Artificial Morphogenesis. 93-104
  
• Xiaodong Li:
  Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization. 105-116
  
• Xiaodong Li:
  Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function. 117-128
  
• Julian Francis Miller:
  Evolving a Self-Repairing, Self-Regulating, French Flag Organism. 129-139
  
• Christopher K. Monson, Kevin D. Seppi:
  The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. 140-150
  
• Tadashi Nakano, Tatsuya Suda:
  Adaptive and Evolvable Network Services. 151-162
  
• Michael O'Neill, Anthony Brabazon:
  Grammatical Swarm. 163-174
  
• Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Chabrier, Pierre Collet:
  A New Universal Cellular Automaton Discovered by Evolutionary Algorithms. 175-187
  
• Yann Semet, Una-May O'Reilly, Frédo Durand:
  An Interactive Artificial Ant Approach to Non-photorealistic Rendering. 188-200
  
• Walter A. Talbott:
  Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming. 201-212
  
• Ivan Tanev, Kikuo Yuta:
  Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming. 213-224
  
• Gregorio Toscano Pulido, Carlos A. Coello Coello:
  Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer. 225-237
  
• Xiao-Feng Xie, Wenjun Zhang:
  SWAF: Swarm Algorithm Framework for Numerical Optimization. 238-250
  

A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization - Posters

• Alain Berro, Stéphane Sanchez:
  Autonomous Agent for Multi-objective Optimization. 251-252
  
• Darren M. Chitty:
  An Evolved Autonomous Controller for Satellite Task Scheduling. 253-254
  
• Stephen Dignum, Riccardo Poli:
  Multi-agent Foreign Exchange Market Modelling Via GP. 255-256
  
• Rich Drewes, James B. Maciokas, Sushil J. Louis, Philip H. Goodman:
  An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network. 257-258
  
• Osvaldo Gómez, Benjamín Barán:
  Arguments for ACO's Success. 259-260
  
• Xiao-Feng Xie, Wenjun Zhang:
  Solving Engineering Design Problems by Social Cognitive Optimization. 261-262
  

Artificial Immune Systems

• Gerry V. Dozier, Douglas Brown, John Hurley, Krystal Cain:
  Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers. 263-274
  
• Xiaoshu Hang, Honghua Dai:
  Constructing Detectors in Schema Complementary Space for Anomaly Detection. 275-286
  
• Zhou Ji, Dipankar Dasgupta:
  Real-Valued Negative Selection Algorithm with Variable-Sized Detectors. 287-298
  
• Thomas Stibor, Kpatcha M. Bayarou, Claudia Eckert:
  An Investigation of R-Chunk Detector Generation on Higher Alphabets. 299-307
  
• Jon Timmis, Camilla Edmonds:
  A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation. 308-317
  

Artificial Immune Systems - Posters

• Zhen-qiang Qi, Shen-min Song, Zhao-hua Yang, Guang-da Hu, Fu-en Zhang:
  A Novel Immune Feedback Control Algorithm and Its Applications. 318-320
  

Biological Applications

• Ignasi Belda, Xavier Llorà, Marc Martinell, Teresa Tarragó, Ernest Giralt:
  Computer-Aided Peptide Evolution for Virtual Drug Design. 321-332
  
• Josh C. Bongard, Hod Lipson:
  Automating Genetic Network Inference with Minimal Physical Experimentation Using Coevolution. 333-345
  
• Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon:
  A Genetic Approach for Gene Selection on Microarray Expression Data. 346-355
  
• Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe:
  Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models. 356-367
  
• Camila S. de Magalhães, Helio J. C. Barbosa, Laurent Emmanuel Dardenne:
  Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem. 368-379
  
• Giancarlo Mauri, Roberto Mosca, Giulio Pavesi:
  A GA Approach to the Definition of Regulatory Signals in Genomic Sequences. 380-391
  
• Jason H. Moore, Lance W. Hahn:
  Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution. 392-401
  
• Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis:
  Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. 402-413
  
• Topon Kumar Paul, Hitoshi Iba:
  Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. 414-425
  
• Michael R. Peterson, Travis E. Doom, Michael L. Raymer:
  GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation. 426-437
  
• Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore:
  Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. 438-448
  
• Luke Sheneman, James A. Foster:
  Evolving Better Multiple Sequence Alignments. 449-460
  
• Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell:
  Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments. 461-470
  
• Felix Streichert, Hannes Planatscher, Christian Spieth, Holger Ulmer, Andreas Zell:
  Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks. 471-480
  
• Jinn-Moon Yang, Tsai-Wei Shen, Yen-Fu Chen, Yi-Yuan Chiu:
  An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening. 481-492
  

Biological Applications - Posters

• Jesús S. Aguilar-Ruiz, Daniel Mateos, Raúl Giráldez, José Cristóbal Riquelme Santos:
  Statistical Test-Based Evolutionary Segmentation of Yeast Genome. 493-494
  
• Erik C. Buehler, Sanjoy Das, Jack F. Cully:
  Equilibrium and Extinction in a Trisexual Diploid Mating System: An Investigation. 495-496
  
• Daniel J. Burns, Kevin T. May:
  On Parameterizing Models of Antigen-Antibody Binding Dynamics on Surfaces - A Genetic Algorithm Approach and the Need for Speed. 497-498
  
• Winfried Just, Xiaolu Sun:
  Is the Predicted ESS in the Sequential Assessment Game Evolvable? 499-500
  

Coevolution

• Anthony Bucci, Jordan B. Pollack, Edwin D. de Jong:
  Automated Extraction of Problem Structure. 501-512
  
• Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
  Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering. 513-524
  
• Edwin D. de Jong:
  The Incremental Pareto-Coevolution Archive. 525-536
  
• Antony W. Iorio, Xiaodong Li:
  A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting. 537-548
  
• Anthony M. L. Liekens, Huub M. M. ten Eikelder, Peter A. J. Hilbers:
  Predicting Genetic Drift in 2×2 Games. 549-560
  
• Ramón Alfonso Palacios-Durazo, Manuel Valenzuela-Rendón:
  Similarities Between Co-evolution and Learning Classifier Systems and Their Applications. 561-572
  
• Liviu Panait, R. Paul Wiegand, Sean Luke:
  A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. 573-584
  

Coevolution - Posters

• Ari Bader-Natal, Jordan B. Pollack:
  A Population-Differential Method of Monitoring Success and Failure in Coevolution. 585-586
  
• Sohail Nadimi, Bir Bhanu:
  Cooperative Coevolution Fusion for Moving Object Detection. 587-589
  

Evolutionary Robotics

• Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
  Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. 590-602
  
• Rainer W. Paine, Jun Tani:
  Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network. 603-614
  
• Eduardo José Solteiro Pires, José António Tenreiro Machado, Paulo B. de Moura Oliveira:
  Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization. 615-626
  
• Ivan Tanev, Thomas S. Ray, Andrzej Buller:
  Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot. 627-639
  

Evolutionary Robotics - Posters

• Michail Maniadakis, Panos E. Trahanias:
  Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms. 640-641
  

Evolution Strategies/Evolutionary Programming

• Andreas Alexander Albrecht:
  On the Complexity to Approach Optimum Solutions by Inhomogeneous Markov Chains. 642-653
  
• Hans-Georg Beyer:
  Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models. 654-665
  
• Lauren M. Clevenger, William E. Hart:
  Convergence Examples of a Filter-Based Evolutionary Algorithm. 666-677
  
• Alexandre C. B. Delbem, André Carlos Ponce Leon Ferreira de Carvalho, Claudio A. Policastro, Adriano K. O. Pinto, Karen Honda, Anderson C. Garcia:
  Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design. 678-687
  
• Yaochu Jin, Bernhard Sendhoff:
  Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. 688-699
  
• Efrén Mezura-Montes, Carlos A. Coello Coello:
  An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy. 700-712
  
• Frank Neumann, Ingo Wegener:
  Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem. 713-724
  
• Jonathan E. Rowe, Dzena Hidovic:
  An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution. 725-736
  
• Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hung Chen, Ming-Hao Hung:
  A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large Number of Parameters. 737-747
  
• Tobias Storch:
  On the Choice of the Population Size. 748-760
  
• Carsten Witt:
  An Analysis of the (µ+1) EA on Simple Pseudo-Boolean Functions. 761-773
  
• Kohsuke Yanai, Hitoshi Iba:
  Program Evolution by Integrating EDP and GP. 774-785
  

Evolution Strategies/Evolutionary Programming - Posters

• Stefan Berlik:
  A Step Size Preserving Directed Mutation Operator. 786-787
  
• Crina Grosan:
  A Comparison of Several Algorithms and Representations for Single Objective Optimization. 788-789
  
• Wilfried Jakob, Christian Blume, Georg Bretthauer:
  Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms. 790-791
  

Evolvable Hardware

• Didier Keymeulen, Ricardo Salem Zebulum, Vu Duong, Xin Guo, Ian Ferguson, Adrian Stoica:
  High Temperature Experiments for Circuit Self-Recovery. 792-803
  
• John Rieffel, Jordan B. Pollack:
  The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment. 804-815
  
• Yann Thoma, Eduardo Sanchez:
  A Reconfigurable Chip for Evolvable Hardware. 816-827
  

Genetic Algorithms

• Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina:
  Experimental Evaluation of Discretization Schemes for Rule Induction. 828-839
  
• Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg:
  Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. 840-851
  
• Enrique Alba, J. Francisco Chicano:
  Training Neural Networks with GA Hybrid Algorithms. 852-863
  
• Enrique Alba, Gabriel Luque:
  Growth Curves and Takeover Time in Distributed Evolutionary Algorithms. 864-876
  
• Chatchawit Aporntewan, Prabhas Chongstitvatana:
  Simultaneity Matrix for Solving Hierarchically Decomposable Functions. 877-888
  
• Lourdes Araujo, Gabriel Luque, Enrique Alba:
  Metaheuristics for Natural Language Tagging. 889-900
  
• Pedro J. Ballester, Jonathan N. Carter:
  An Effective Real-Parameter Genetic Algorithm with Parent Centric Normal Crossover for Multimodal Optimisation. 901-913
  
• Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong:
  Looking Under the EA Hood with Price's Equation. 914-922
  
• Jürgen Branke, Andreas Kamper, Hartmut Schmeck:
  Distribution of Evolutionary Algorithms in Heterogeneous Networks. 923-934
  
• Bulent Buyukbozkirli, Erik D. Goodman:
  A Statistical Model of GA Dynamics for the OneMax Problem. 935-946
  
• Erick Cantú-Paz:
  Adaptive Sampling for Noisy Problems. 947-958
  
• Erick Cantú-Paz:
  Feature Subset Selection, Class Separability, and Genetic Algorithms. 959-970
  
• Ying-Ping Chen, David E. Goldberg:
  Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. 971-982
  
• Chihyung Derrick Cheng, Alexander Kosorukoff:
  Interactive One-Max Problem Allows to Compare the Performance of Interactive and Human-Based Genetic Algorithms. 983-993
  
• Sung-Soon Choi, Byung Ro Moon:
  Polynomial Approximation of Survival Probabilities Under Multi-point Crossover. 994-1005
  
• Rick Chow:
  Evolving Genotype to Phenotype Mappings with a Multiple-Chromosome Genetic Algorithm. 1006-1017
  
• Chryssomalis Chryssomalakos, Christopher R. Stephens:
  What Basis for Genetic Dynamics? 1018-1029
  
• Edwin D. de Jong, Dirk Thierens:
  Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems. 1030-1041
  
• Kalyanmoy Deb, Naveen Kumar Gupta:
  Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms. 1042-1053
  
• Kalyanmoy Deb, Koushik Pal:
  Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm. 1054-1065
  
• Elizabeth Dicke, Andrew Byde, Paul J. Layzell, Dave Cliff:
  Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures. 1066-1077
  
• Gerry V. Dozier, Hurley Cunningham, Winard Britt, Funing Zhang:
  Distributed Constraint Satisfaction, Restricted Recombination, and Hybrid Genetic Search. 1078-1087
  
• Stefan Droste:
  Analysis of the (1+1) EA for a Noisy OneMax. 1088-1099
  
• Simon Fischer:
  A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model. 1100-1112
  
• Simon Fischer, Ingo Wegener:
  The Ising Model on the Ring: Mutation Versus Recombination. 1113-1124
  
• Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu:
  Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space. 1125-1137
  
• Mario Giacobini, Enrique Alba, Andrea Tettamanzi, Marco Tomassini:
  Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms. 1138-1149
  
• Jonatan Gómez:
  Evolution of Fuzzy Rule Based Classifiers. 1150-1161
  
• Jonatan Gómez:
  Self Adaptation of Operator Rates in Evolutionary Algorithms. 1162-1173
  
• Jörn Grahl, Franz Rothlauf:
  PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints. 1174-1185
  
• Adrian Grajdeanu, Kenneth A. De Jong:
  Improving the Locality Properties of Binary Representations. 1186-1196
  
• William A. Greene:
  Schema Disruption in Chromosomes That Are Structured as Binary Trees. 1197-1207
  
• Brian Howard, John W. Sheppard:
  The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1. 1208-1219
  
• Jianjun Hu, Erik D. Goodman:
  Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. 1220-1232
  
• Chien-Feng Huang, Luis Mateus Rocha:
  A Systematic Study of Genetic Algorithms with Genotype Editing. 1233-1245
  
• Hisao Ishibuchi, Kaname Narukawa:
  Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. 1246-1258
  
• Hisao Ishibuchi, Youhei Shibata:
  Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. 1259-1271
  
• Bryant A. Julstrom:
  Encoding Bounded-Diameter Spanning Trees with Permutations and with Random Keys. 1272-1281
  
• Bryant A. Julstrom, Athos Antoniades:
  Three Evolutionary Codings of Rectilinear Steiner Arborescences. 1282-1291
  
• Soonchul Jung, Byung Ro Moon:
  Central Point Crossover for Neuro-genetic Hybrids. 1292-1303
  
• Gunnar W. Klau, Ivana Ljubic, Andreas Moser, Petra Mutzel, Philipp Neuner, Ulrich Pferschy, Günther R. Raidl, René Weiskircher:
  Combining a Memetic Algorithm with Integer Programming to Solve the Prize-Collecting Steiner Tree Problem. 1304-1315
  
• Jörg Langeheine, Martin Trefzer, Daniel Brüderle, Karlheinz Meier, Johannes Schemmel:
  On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA. 1316-1327
  
• Cláudio F. Lima, Fernando G. Lobo:
  Parameter-Less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search. 1328-1339
  
• Monte Lunacek, L. Darrell Whitley, Philip Gabriel, Graeme Stephens:
  Comparing Search Algorithms for the Temperature Inversion Problem. 1340-1351
  
• Anil Menon:
  Inequality's Arrow: The Role of Greed and Order in Genetic Algorithms. 1352-1364
  
• Chris Miles, Sushil J. Louis, Rich Drewes:
  Trap Avoidance in Strategic Computer Game Playing with Case Injected Genetic Algorithms. 1365-1376
  
• Alberto Moraglio, Riccardo Poli:
  Topological Interpretation of Crossover. 1377-1388
  
• Christine L. Mumford:
  Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm. 1389-1400
  
• Olfa Nasraoui, Carlos Rojas, Cesar Cardona:
  Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism. 1401-1413
  
• Miguel Nicolau, Conor Ryan:
  Crossover, Population Dynamics, and Convergence in the GAuGE System. 1414-1425
  
• Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg:
  Inducing Sequentiality Using Grammatical Genetic Codes. 1426-1437
  

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