Artificial Evolution人工进化/会议录

出版时间：2004-4  出版社：北京燕山出版社  作者：Liardet, P.; Liardet, Pierre; Collet, Pierre  页数：410  

内容概要

This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Artificial Evolution, EA 2003, held in Marseilles, France in October 2003.    The 32 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, coevolution and agent systems, artificial life, and cellular automata

书籍目录

Theoretical Issues　From Royal Road to Epistatic Road for Variable Length　Evolution Algorithm　Functional Dependency and Degeneracy: Detailed Analysis of the　GAUGE System　A Study of the Effects of Dimensionality on Stochastic HillClimbers and Estimation of Distribution Algorithms　Evolutionary Search for Binary Strings with Low Aperiodic　Auto-correlations　Order Statistics in Artificial Evolution　Evolutionary Markov Chain Monte CarloAlgorithmic Issues　A Hybrid Evolutionary Algorithm for CSP　Optimising Graph Partitions Using Parallel Evolution　Recombination Operators for Satisfiability Problems　Recombination and Self-Adaptation in Multi-objective　Genetic AlgorithmsApplications　Automatic Optical Fiber Alignment System Using　Genetic Algorithms　Large-Scale Scheduling of Casting Sequences Using a Customized　Genetic Algorithm　Evolutionary Mining for Image Classification Rules　Ant Algorithm for Detection of Retentive Structures inCoastal Waters　Air Traffic Controller Keyboard Optimization by Artificial Evolution 　Post Docking Filtering Using Cartesian Genetic ProgrammingImplementation Issues　GUIDE: Unifying Evolutionary Engines through a Graphical　User Interface　ParaDisEO-Based Design of Parallel and Distributed　Evolutionary Algorithms　A Coarse-Grained Parallel Genetic Algorithm Employing Cluster　Analysis for Multi-modal Numerical OptimisationGenetic Programming　A Study of Diversity in Multipopulation Genetic Programming　Self-Improvement to Control Code Growth in Genetic Programming……Coevolution and Agent SysterrisArtificial LifeCellular AutomataMachine Learning Author Index