GECCO 2004: Seattle, WA, USA

@proceedings{DBLP:conf/gecco/2004-1,
  editor    = {Kalyanmoy Deb and
               Riccardo Poli and
               Wolfgang Banzhaf and
               Hans-Georg Beyer and
               Edmund K. Burke and
               Paul J. Darwen and
               Dipankar Dasgupta and
               Dario Floreano and
               James A. Foster and
               Mark Harman and
               Owen Holland and
               Pier Luca Lanzi and
               Lee Spector and
               Andrea Tettamanzi and
               Dirk Thierens and
               Andrew M. Tyrrell},
  title     = {Genetic and Evolutionary Computation - GECCO 2004, Genetic and
               Evolutionary Computation Conference, Seattle, WA, USA, June 26-30,
               2004, Proceedings, Part I},
  booktitle = {GECCO (1)},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {3102},
  year      = {2004},
  isbn      = {3-540-22344-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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 Gomez:
  Evolution of Fuzzy Rule Based Classifiers. 1150-1161
  
• Jonatan Gomez:
  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 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