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)

ISBN 10: 3540406026 / ISBN 13: 9783540406020

Editore: Springer, 2003

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Titolo: Genetic and Evolutionary Computation - GECCO...

Casa editrice: Springer

Data di pubblicazione: 2003

Legatura: Paperback

Condizione: Like New

Tipologia articolo: book

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conference, including the following principles: (i)GECCOshouldbeabroad-basedconferenceencompassingthewhole?eld of genetic and evolutionary computation.

Contenuti:

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.