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ORCIDGECCO 2003: Chicago, IL, USA
- Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish
, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6
A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization
- Tim 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 D. 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 Kharma, Ching Y. Suen, Pei Fang 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 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 A. 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/µI, 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 de 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 J. 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
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