GECCO 2003: Chicago, IL, USA

@proceedings{DBLP:conf/gecco/2003-1,
  editor    = {Erick Cant{\'u}-Paz and
               James A. Foster and
               Kalyanmoy Deb and
               Lawrence Davis and
               Rajkumar Roy and
               Una-May O'Reilly and
               Hans-Georg Beyer and
               Russell K. Standish and
               Graham Kendall and
               Stewart W. Wilson and
               Mark Harman and
               Joachim Wegener and
               Dipankar Dasgupta and
               Mitchell A. Potter and
               Alan C. Schultz and
               Kathryn A. Dowsland and
               Natasa Jonoska and
               Julian F. Miller},
  title     = {Genetic and Evolutionary Computation - GECCO 2003, Genetic and
               Evolutionary Computation Conference, Chicago, IL, USA, July 12-16,
               2003. Proceedings, Part I},
  booktitle = {GECCO},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2723},
  year      = {2003},
  isbn      = {3-540-40602-6},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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

• T. M. Blackwell:
  Swarms in Dynamic Environments. 1-12
  
• Dehua H. Hang, Charles Ofria, Thomas M. Schmidt, Eric Torng:
  The Effect of Natural Selection on Phylogeny Reconstruction Algorithms. 13-24
  
• Nicolas Labroche, Nicolas Monmarché, Gilles Venturini:
  AntClust: Ant Clustering and Web Usage Mining. 25-36
  
• Xiaodong Li:
  A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization. 37-48
  
• Krzysztof Socha:
  The Influence of Run-Time Limits on Choosing Ant System Parameters. 49-60
  
• Lee Spector, Jon Klein, Chris Perry, Mark Feinstein:
  Emergence of Collective Behavior in Evolving Populations of Flying Agents. 61-73
  
• Ivan Tanev, Katsunori Shimohara:
  On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem. 74-85
  
• Marc Toussaint:
  Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants. 86-97
  
• Muhammad Afzal Upal:
  Sexual Selection of Co-operation. 98-109
  
• Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K. Mohan, Lisa Ann Osadciw:
  Optimization Using Particle Swarms with Near Neighbor Interactions. 110-121
  
• Tony White, Simon Kaegi, Terri Oda:
  Revisiting Elitism in Ant Colony Optimization. 122-133
  
• Liping Zhang, Huanjun Yu, Shangxu Hu:
  A New Approach to Improve Particle Swarm Optimization. 134-139
  

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

• Sebastien Aupetit, Nicolas Monmarché, Mohamed Slimane, Christiane Guinot, Gilles Venturini:
  Clustering and Dynamic Data Visualization with Artificial Flying Insect. 140-141
  
• Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wieczorek:
  Ant Colony Programming for Approximation Problems. 142-143
  
• Claude Lattaud:
  Long-Term Competition for Light in Plant Simulation. 144-145
  
• Matthew Russell, John A. Clark, Susan Stepney:
  Using Ants to Attack a Classical Cipher. 146-147
  
• Matthew Settles, Brandon Rodebaugh, Terence Soule:
  Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network. 148-149
  
• Terry Van Belle, David H. Ackley:
  Adaptation and Ruggedness in an Evolvability Landscape. 150-151
  
• Dong Xianghui, Ruwei Dai:
  Study Diploid System by a Hamiltonian Cycle Problem Algorithm. 152-153
  
• Ying Xiao, Winfried Just:
  A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria. 154-155
  
• Tina Yu, Paul Johnson:
  Tour Jeté, Pirouette: Dance Choreographing by Computers. 156-157
  

Artificial Immune Systems

• Nareli Cruz Cortés, Carlos A. Coello Coello:
  Multiobjective Optimization Using Ideas from the Clonal Selection Principle. 158-170
  
• Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone:
  A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem. 171-182
  
• Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumdar:
  MILA - Multilevel Immune Learning Algorithm. 183-194
  
• Fabio A. González, Dipankar Dasgupta, Jonatan Gómez:
  The Effect of Binary Matching Rules in Negative Selection. 195-206
  
• Johnny Kelsey, Jon Timmis:
  Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation. 207-218
  
• Olfa Nasraoui, Fabio A. González, Cesar Cardona, Carlos Rojas, Dipankar Dasgupta:
  A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning. 219-230
  
• Terri Oda, Tony White:
  Developing an Immunity to Spam. 231-242
  

Artificial Immune Systems - Posters

• Fernando Niño, D. Gómez, R. Vejar:
  A Novel Immune Anomaly Detection Technique Based on Negative Selection. 243-245
  
• Yasufumi Takama:
  Visualization of Topic Distribution Based on Immune Network Model. 246-247
  
• Alexander O. Tarakanov:
  Spatial Formal Immune Network. 248-249
  

Coevolution

• Anthony Bucci, Jordan B. Pollack:
  Focusing versus Intransitivity. 250-261
  
• Edwin D. de Jong:
  Representation Development from Pareto-Coevolution. 262-273
  
• Edwin D. de Jong, Jordan B. Pollack:
  Learning the Ideal Evaluation Function. 274-285
  
• Sevan G. Ficici, Jordan B. Pollack:
  A Game-Theoretic Memory Mechanism for Coevolution. 286-297
  
• Jeffrey Horn, James Cattron:
  The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution. 298-309
  
• Thomas Jansen, R. Paul Wiegand:
  Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA. 310-321
  
• Nawwaf N. Kharma, Ching Y. Suen, Pei F. Guo:
  PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images. 322-331
  
• Krzysztof Krawiec, Bir Bhanu:
  Coevolution and Linear Genetic Programming for Visual Learning. 332-343
  
• Anthony M. L. Liekens, Huub M. M. ten Eikelder, Peter A. J. Hilbers:
  Finite Population Models of Co-evolution and Their Application to Haploidy versus Diploidy. 344-355
  
• Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
  Evolving Keepaway Soccer Players through Task Decomposition. 356-368
  

Coevolution - Posters

• Emmanuel Blindauer, Jerzy J. Korczak:
  A New Method of Multilayer Perceptron Encoding. 369-370
  
• Ramón Alfonso Palacios-Durazo, Manuel Valenzuela-Rendón:
  An Incremental and Non-generational Coevolutionary Algorithm. 371-372
  
• Lothar M. Schmitt:
  Coevolutionary Convergence to Global Optima. 373-374
  
• Fabiano Luis de Sousa, Valeri Vlassov, Fernando Manuel Ramos:
  Generalized Extremal Optimization for Solving Complex Optimal Design Problems. 375-376
  
• Jekanthan Thangavelautham, Tim D. Barfoot, Gabriele M. T. D'Eleuterio:
  Coevolving Communication and Cooperation for Lattice Formation Tasks. 377-378
  

DNA, Molecular, and Quantum Computing

• Max H. Garzon, Andrew Neel, Hui Chen:
  Efficiency and Reliability of DNA-Based Memories. 379-389
  
• André Leier, Wolfgang Banzhaf:
  Evolving Hogg's Quantum Algorithm Using Linear-Tree GP. 390-400
  
• Carlos Martín-Vide, Victor Mitrana, Mario J. Pérez-Jiménez, Fernando Sancho-Caparrini:
  Hybrid Networks of Evolutionary Processors. 401-412
  
• Michael West, Max H. Garzon, Derrel Blain:
  DNA-Like Genomes for Evolution in silico. 413-424
  

DNA, Molecular, and Quantum Computing - Posters

• M. Sakthi Balan:
  String Binding-Blocking Automata. 425-426
  
• Kuk-Hyun Han, Jong-Hwan Kim:
  On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence. 427-428
  
• Edgar E. Vallejo, Fernando Ramos:
  Evolutionary Two-Dimensional DNA Sequence Alignment. 429-430
  

Evolvable Hardware

• John C. Gallagher, Saranyan Vigraham:
  Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware. 431-441
  
• David A. Gwaltney, Michael I. Ferguson:
  Hardware Evolution of Analog Speed Controllers for a DC Motor. 442-453
  

Evolvable Hardware - Posters

• Gregory R. Kramer, John C. Gallagher:
  An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments. 454-455
  
• Rob Shepherd, James A. Foster:
  Inherent Fault Tolerance in Evolved Sorting Networks. 456-457
  

Evolutionary Robotics

• Gunnar Búason, Tom Ziemke:
  Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments. 458-469
  
• Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba:
  Integration of Genetic Programming and Reinforcement Learning for Real Robots. 470-482
  
• Jason Teo, Minh Ha Nguyen, Hussein A. Abbass:
  Multi-objectivity as a Tool for Constructing Hierarchical Complexity. 483-494
  
• Krister Wolff, Peter Nordin:
  Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming. 495-506
  

Evolutionary Robotics - Posters

• Stefan Elfwing, Eiji Uchibe, Kenji Doya:
  An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. 507-509
  
• Eduardo José Solteiro Pires, José António Tenreiro Machado, Paulo B. de Moura Oliveira:
  Fractional Order Dynamical Phenomena in a GA. 510-511
  

Evolution Strategies/Evolutionary Programming

• Anne Auger, Claude Le Bris, Marc Schoenauer:
  Dimension-Independent Convergence Rate for Non-isotropic (1, lambda) - ES. 512-524
  
• Hans-Georg Beyer, Dirk V. Arnold:
  The Steady State Behavior of (µ/µ_I, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise. 525-536
  
• Jürgen Branke, Wei Wang:
  Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments. 537-548
  
• Guy De Pauw:
  Evolutionary Computing as a Tool for Grammar Development. 549-560
  
• Gerry V. Dozier:
  Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers. 561-572
  
• Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga:
  Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization. 573-584
  
• Kwong-Sak Leung, Yong Liang:
  Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function. 585-597
  
• Alfonsas Misevicius:
  Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem. 598-609
  
• Holger Ulmer, Felix Streichert, Andreas Zell:
  Model-Assisted Steady-State Evolution Strategies. 610-621
  
• Ingo Wegener, Carsten Witt:
  On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search. 622-633
  

Evolution Strategies/Evolutionary Programming - Posters

• Alexandre C. B. Delbem, André Carlos Ponce Leon Ferreira de Carvalho:
  A Forest Representation for Evolutionary Algorithms Applied to Network Design. 634-635
  
• Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
  Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. 636-637
  
• Chi-Ho Lee, Ming Yuchi, Hyun Myung, Jong-Hwan Kim:
  The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming. 638-639
  
• Efrén Mezura-Montes, Carlos A. Coello Coello:
  A Simple Evolution Strategy to Solve Constrained Optimization Problems. 640-641
  
• Eugene Santos Jr., Keum Joo Kim, Eunice E. Santos:
  Effective Search of the Energy Landscape for Protein Folding. 642-643
  
• Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell:
  A Clustering Based Niching Method for Evolutionary Algorithms. 644-645
  

Evolutionary Scheduling Routing

• Jean Berger, Mohamed Barkaoui:
  A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem. 646-656
  
• Mudassar Hussain, Bahram Kimiaghalam, Abdollah Homaifar, Albert C. Esterline, Bijan Sayyarrodsari:
  An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-agent Team. 657-668
  
• Dong-il Seo, Byung Ro Moon:
  A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem. 669-680
  
• Shiann-Tsong Sheu, Yue-Ru Chuang, Yu-Hung Chen, Eugene Lai:
  An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator. 681-692
  

Evolutionary Scheduling Routing - Poster

• Paavan Mistry, Raymond S. K. Kwan:
  Generation and Optimization of Train Timetables Using Coevolution. 693-694
  

Genetic Algorithms

• Adnan Acan, Yüce Tekol:
  Chromosome Reuse in Genetic Algorithms. 695-705
  
• Pedro J. Ballester, Jonathan N. Carter:
  Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization. 706-717
  
• Helio J. C. Barbosa, Afonso C. C. Lemonge:
  An Adaptive Penalty Scheme for Steady-State Genetic Algorithms. 718-729
  
• John W. Baugh Jr., Sujay V. Kumar:
  Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow. 730-741
  
• Abdesselam Bouzerdoum, Rainer Mueller:
  A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods. 742-753
  
• Jürgen Branke, Christiane Barz, Ivesa Behrens:
  Ant-Based Crossover for Permutation Problems. 754-765
  
• Jürgen Branke, Christian Schmidt:
  Selection in the Presence of Noise. 766-777
  
• Martin Brown, Robert E. Smith:
  Effective Use of Directional Information in Multi-objective Evolutionary Computation. 778-789
  
• Erick Cantú-Paz:
  Pruning Neural Networks with Distribution Estimation Algorithms. 790-800
  
• Erick Cantú-Paz, David E. Goldberg:
  Are Multiple Runs of Genetic Algorithms Better than One? 801-812
  
• Deepti Chafekar, Jiang Xuan, Khaled Rasheed:
  Constrained Multi-objective Optimization Using Steady State Genetic Algorithms. 813-824
  
• Ying-Ping Chen, David E. Goldberg:
  An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. 825-836
  
• Ying-Ping Chen, David E. Goldberg:
  Tightness Time for the Linkage Learning Genetic Algorithm. 837-849
  
• Heemahn Choe, Sung-Soon Choi, Byung Ro Moon:
  A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem. 850-861
  
• Sung-Soon Choi, Byung Ro Moon:
  Normalization in Genetic Algorithms. 862-873
  
• Andrés Aguilar Contreras, Jonathan E. Rowe, Christopher R. Stephens:
  Coarse-Graining in Genetic Algorithms: Some Issues and Examples. 874-885
  
• Steven van Dijk, Dirk Thierens, Linda C. van der Gaag:
  Building a GA from Design Principles for Learning Bayesian Networks. 886-897
  
• Federico Divina, Maarten Keijzer, Elena Marchiori:
  A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners. 898-908
  
• Stefan Droste:
  Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax. 909-921
  
• Felipe P. Espinoza, Barbara S. Minsker, David E. Goldberg:
  Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). 922-933
  
• Hiroshi Furutani:
  Schema Analysis of Average Fitness in Multiplicative Landscape. 934-947
  
• Yong Gao, Joseph C. Culberson:
  On the Treewidth of NK Landscapes. 948-954
  
• Mario Giacobini, Enrique Alba, Marco Tomassini:
  Selection Intensity in Asynchronous Cellular Evolutionary Algorithms. 955-966
  
• Joshua Gilbert, Margaret J. Eppstein:
  A Case for Codons in Evolutionary Algorithms. 967-978
  
• Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
  Natural Coding: A More Efficient Representation for Evolutionary Learning. 979-990
  
• Hisashi Handa:
  Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems. 991-1002
  
• Robert B. Heckendorn, Alden H. Wright:
  Efficient Linkage Discovery by Limited Probing. 1003-1014
  
• Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hisashi Shimosaka, Shigeyoshi Tsutsui, Jack Dongarra:
  Distributed Probabilistic Model-Building Genetic Algorithm. 1015-1028
  
• Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman:
  HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. 1029-1040
  
• Chien-Feng Huang:
  Using an Immune System Model to Explore Mate Selection in Genetic Algorithms. 1041-1052
  
• Gaofeng Huang, Andrew Lim:
  Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem. 1053-1064
  
• Hisao Ishibuchi, Youhei Shibata:
  A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. 1065-1076
  
• Hisao Ishibuchi, Takashi Yamamoto:
  Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. 1077-1088
  
• Carlos Kavka, Marc Schoenauer:
  Voronoi Diagrams Based Function Identification. 1089-1100
  
• Jung Hwan Kim, Byung Ro Moon:
  New Usage of SOM for Genetic Algorithms. 1101-1111
  
• Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon:
  Problem-Independent Schema Synthesis for Genetic Algorithms. 1112-1122
  
• Yong-Hyuk Kim, Byung Ro Moon:
  Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning. 1123-1135
  
• Yong-Hyuk Kim, Byung Ro Moon:
  New Usage of Sammon's Mapping for Genetic Visualization. 1136-1147
  
• Steven Orla Kimbrough, Ming Lu, David Harlan Wood, Dong-Jun Wu:
  Exploring a Two-Population Genetic Algorithm. 1148-1159
  
• Kwong-Sak Leung, Yong Liang:
  Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization. 1160-1171
  
• Xavier Llorà, David E. Goldberg:
  Wise Breeding GA via Machine Learning Techniques for Function Optimization. 1172-1183
  
• Flaviu Adrian Marginean:
  Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic. 1184-1195
  
• Boris Mitavskiy:
  Comparing Evolutionary Computation Techniques via Their Representation. 1196-1209
  
• Ronald W. Morrison:
  Dispersion-Based Population Initialization. 1210-1221
  
• Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
  A Parallel Genetic Algorithm Based on Linkage Identification. 1222-1233
  
• Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi:
  Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. 1234-1245