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Computer Science - Artificial Intelligence | Genetic and Evolutionary Computation - GECCO 2003 - Genetic and Evolutionary Computation Conference,

Genetic and Evolutionary Computation - GECCO 2003

Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003, Proceedings, Part I

Cantú-Paz, E., Foster, J.A., Deb, K., Lawrence, D., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Standish, R., Kendall, G., Wilson, S., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A.C., Jonoska, N., Dowsland, K.A., Miller, J.F. (Eds.)

2003, XCIV, 1256 p.

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These proceedings contain the papers presented at the 5th Annual Genetic and EvolutionaryComputationConference(GECCO2003).Theconferencewasheld in Chicago, USA, July 12–16, 2003. A total of 417 papers were submitted to GECCO 2003. After a rigorous doubleblind reviewing process, 194 papers were accepted for full publication and oral presentation at the conference, resulting in an acceptance rate of 46.5%. An additional 92 submissions were accepted as posters with two-page extended abstracts included in these proceedings. This edition of GECCO was the union of the 8th Annual Genetic Progr- mingConference(whichhasmetannuallysince1996)andthe12thInternational Conference on Genetic Algorithms (which, with its ?rst meeting in 1985, is the longest running conference in the ?eld). Since 1999, these conferences have m- ged to produce a single large meeting that welcomes an increasingly wide array of topics related to genetic and evolutionary computation. Possibly the most visible innovation in GECCO 2003 was the publication of theproceedingswithSpringer-VerlagaspartoftheirLectureNotesinComputer Science series. This will make the proceedings available in many libraries as well asonline,wideningthedisseminationoftheresearchpresentedattheconference. OtherinnovationsincludedanewtrackonCoevolutionandArti?cialImmune Systems and the expansion of the DNA and Molecular Computing track to include quantum computation. In addition to the presentation of the papers contained in these proceedings, the conference included 13 workshops, 32 tutorials by leading specialists, and presentation of late-breaking papers. GECCO is sponsored by the International Society for Genetic and Evolut- nary Computation (ISGEC). The ISGEC by-laws contain explicit guidance on the organization of the conference, including the following principles: (i)GECCOshouldbeabroad-basedconferenceencompassingthewhole?eld of genetic and evolutionary computation.

Content Level » Professional/practitioner

Keywords » agents - algorithm - algorithms - evolution - evolutionary computation - genetic algorithm - genetic algorithms - genetic programming - hardware - learning - optimization - programming - robot - robotics

Related subjects » Artificial Intelligence - Information Systems and Applications - Software Engineering - Systems Biology and Bioinformatics - Theoretical Computer Science

Table of contents 

A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization.- Swarms in Dynamic Environments.- The Effect of Natural Selection on Phylogeny Reconstruction Algorithms.- AntClust: Ant Clustering and Web Usage Mining.- A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization.- The Influence of Run-Time Limits on Choosing Ant System Parameters.- Emergence of Collective Behavior in Evolving Populations of Flying Agents.- On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem.- Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants.- Sexual Selection of Co-operation.- Optimization Using Particle Swarms with Near Neighbor Interactions.- Revisiting Elitism in Ant Colony Optimization.- A New Approach to Improve Particle Swarm Optimization.- A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization — Posters.- Clustering and Dynamic Data Visualization with Artificial Flying Insect.- Ant Colony Programming for Approximation Problems.- Long-Term Competition for Light in Plant Simulation.- Using Ants to Attack a Classical Cipher.- Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network.- Adaptation and Ruggedness in an Evolvability Landscape.- Study Diploid System by a Hamiltonian Cycle Problem Algorithm.- A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria.- Tour Jeté, Pirouette: Dance Choreographing by Computers.- Multiobjective Optimization Using Ideas from the Clonal Selection Principle.- Artificial Immune Systems.- A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem.- MILA — Multilevel Immune Learning Algorithm.- The Effect of Binary Matching Rules in Negative Selection.- Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation.- A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning.- Developing an Immunity to Spam.- Artificial Immune Systems — Posters.- A Novel Immune Anomaly Detection Technique Based on Negative Selection.- Visualization of Topic Distribution Based on Immune Network Model.- Spatial Formal Immune Network.- Coevolution.- Focusing versus Intransitivity Geometrical Aspects of Co-evolution.- Representation Development from Pareto-Coevolution.- Learning the Ideal Evaluation Function.- A Game-Theoretic Memory Mechanism for Coevolution.- The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution.- Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA.- PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images.- Coevolution and Linear Genetic Programming for Visual Learning.- Finite Population Models of Co-evolution and Their Application to Haploidy versus Diploidy.- Evolving Keepaway Soccer Players through Task Decomposition.- Coevolution — Posters.- A New Method of Multilayer Perceptron Encoding.- An Incremental and Non-generational Coevolutionary Algorithm.- Coevolutionary Convergence to Global Optima.- Generalized Extremal Optimization for Solving Complex Optimal Design Problems.- Coevolving Communication and Cooperation for Lattice Formation Tasks.- DNA, Molecular, and Quantum Computing.- Efficiency and Reliability of DNA-Based Memories.- Evolving Hogg’s Quantum Algorithm Using Linear-Tree GP.- Hybrid Networks of Evolutionary Processors.- DNA-Like Genomes for Evolution in silico.- DNA, Molecular, and Quantum Computing — Posters.- String Binding-Blocking Automata.- On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence.- Evolutionary Two-Dimensional DNA Sequence Alignment.- Evolvable Hardware.- Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware.- Hardware Evolution of Analog Speed Controllers for a DC Motor.- Evolvable Hardware — Posters.- An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments.- Inherent Fault Tolerance in Evolved Sorting Networks.- Evolutionary Robotics.- Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments.- Integration of Genetic Programming and Reinforcement Learning for Real Robots.- Multi-objectivity as a Tool for Constructing Hierarchical Complexity.- Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming.- Evolutionary Robotics — Posters.- An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning.- Fractional Order Dynamical Phenomena in a GA.- Evolution Strategies/Evolutionary Programming.- Dimension-Independent Convergence Rate for Non-isotropic (1, ?) — ES.- The Steady State Behavior of (?/? I, ?)-ES on Ellipsoidal Fitness Models Disturbed by Noise.- Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments.- Evolutionary Computing as a Tool for Grammar Development.- Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers.- Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization.- Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function.- Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem.- Model-Assisted Steady-State Evolution Strategies.- On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search.- Evolution Strategies/Evolutionary Programming — Posters.- A Forest Representation for Evolutionary Algorithms Applied to Network Design.- Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.- The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming.- A Simple Evolution Strategy to Solve Constrained Optimization Problems.- Effective Search of the Energy Landscape for Protein Folding.- A Clustering Based Niching Method for Evolutionary Algorithms.- Evolutionary Scheduling Routing.- A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem.- An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-Agent Team.- A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem.- An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator.- Evolutionary Scheduling Routing — Posters.- Generation and Optimization of Train Timetables Using Coevolution.- Genetic Algorithms.- Chromosome Reuse in Genetic Algorithms.- Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization.- An Adaptive Penalty Scheme for Steady-State Genetic Algorithms.- Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow.- A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods.- Ant-Based Crossover for Permutation Problems.- Selection in the Presence of Noise.- Effective Use of Directional Information in Multi-objective Evolutionary Computation.- Pruning Neural Networks with Distribution Estimation Algorithms.- Are Multiple Runs of Genetic Algorithms Better than One?.- Constrained Multi-objective Optimization Using Steady State Genetic Algorithms.- An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem.- Tightness Time for the Linkage Learning Genetic Algorithm.- A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem.- Normalization in Genetic Algorithms.- Coarse-Graining in Genetic Algorithms: Some Issues and Examples.- Building a GA from Design Principles for Learning Bayesian Networks.- A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners.- Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax.- Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA).- Schema Analysis of Average Fitness in Multiplicative Landscape.- On the Treewidth of NK Landscapes.- Selection Intensity in Asynchronous Cellular Evolutionary Algorithms.- A Case for Codons in Evolutionary Algorithms.- Natural Coding: A More Efficient Representation for Evolutionary Learning.- Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems.- Efficient Linkage Discovery by Limited Probing.- Distributed Probabilistic Model-Building Genetic Algorithm.- HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework.- Using an Immune System Model to Explore Mate Selection in Genetic Algorithms.- Designing a Hybrid Genetic Algorithm for the Linear Ordering Problem.- A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization.- Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers.- Voronoi Diagrams Based Function Identification.- New Usage of SOM for Genetic Algorithms.- Problem-Independent Schema Synthesis for Genetic Algorithms.- Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning.- New Usage of Sammon’s Mapping for Genetic Visualization.- Exploring a Two-Population Genetic Algorithm.- Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization.- Wise Breeding GA via Machine Learning Techniques for Function Optimization.- Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic.- Comparing Evolutionary Computation Techniques via Their Representation.- Dispersion-Based Population Initialization.- A Parallel Genetic Algorithm Based on Linkage Identification.- Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms.

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