人工进化/Artificial evolution
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作者： Pierre Collet等著
出 版 社： 湖南文艺出版社
出版时间： 2001-12-1字数：版次： 1页数： 373印刷时间： 2001/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540435440包装： 平装编辑推荐
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内容简介
This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Artificial Evolution, EA 2001, held in Le Creusot, France, in October 2001.The 28 revised full papers presented together with an invited paper 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, constraint handling, and co-evolution and agent systems.
目录
Invited Paper
Why Biologists and Computer Scientists Should Work Together..
Theoretical Issues
Niching in Monte Carlo Filtering Algorithms
Measurement of Population Diversity
Prediction of Binary Sequences by Evolving Finite State Machines
Extending Selection Learning toward Fixed-Length d-Ary Strings
Markov Random Field Modeling of Royal Road Genetic Algorithms
Measuring the Spatial Dispersion of Evolutionary Search Processes: Application to Walksat
Algorithmic Issues
The Importance of Selection Mechanisms in Distribution Estimation Algorithms
Surrogate Deterministic Mutation: Preliminary Results
The Effects of Partial Restarts in Evolutionary Search
History and Immortality in Evolutionary Computation
Applications
Origins and Learnability of Syllable Systems: A Cultural Evolutionary Model
Evolution Strategy in Portfolio Optimization
Scatter Search for Graph Coloring
The Two Stage Continuous Parallel Flow Shop Problem with Limited Storage: Modeling and Algorithms
SAT, Local Search Dynamics and Density of States
A Multiobjective Evolutionary Algorithm for Car Front End Design
Implementation Issues
EASEA Comparisons on Test Functions: GALib versus EO
Evolving Objects: A General Purpose Evolutionary Computation Library
Genetic Programming
Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application
Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming
Applying Boosting Techniques to Genetic Programming
Constraints Handling
Dual Evolutionary Optimization
……
Coevolution and Agents Systems
Author Index
