模拟演化和学习LNCS-4247: Simulated evolution and learning
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作者： Tzai-Der Wang著
出 版 社： 湖南文艺出版社
出版时间： 2006-12-1字数：版次： 1页数： 940印刷时间： 2006/10/01开本：印次：纸张： 胶版纸I S B N ： 9783540473312包装： 平装内容简介
This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006.
The 117 revised full papers presented were carefully reviewed and selected from 420 submissions. The papers are organized in topical sections on evolutionary learning, evolutionary optimisation, hybrid learning, adaptive systems, theoretical issues in evolutionary computation, and real-world applications of evolutionary computation techniques.
目录
Evolutionary Learning
Evolutionary Dynamics on Graphs：The Moran Process
Generalized Embedded Landscape and Its DecomposedRepresentation
Representative Selection for Cooperative Co—evolutionary GeneticAlgorithms
Kernel Matching Pursuit Based on Immune Clonal Algorithmfor Image Recognition
Power Quality Disturbance Detection and Classification Using
Chirplet Transforms
Ensemble Learning Classifier System and Compact Ruleset
The Role of Early Stopping and Population Size in XCS for IntrusionDerection
Improving Radial Basis Function Networks for Human Face
Recognition Using a Soft Compl~ting Approach
Solving Traveling Salesman Problems by Artificial ImmuneResponse
A Strategy of Mutation History Learning in Immune Clonal SelectionAlgorithm
Quantum—Inspired Immune Clonal Algorithm for Multiuser Detectionin DS—CDMA Systems
Innate and Adaptive Principles for an Artificial Immune System
Immune—Based Dynamic Intrusion Response Model
Immune Multi—agent Active Defense Model for Network Intrusion
An Immune Mobile Agent Based Grid Intrusion Detection Model
Solving Optimization Problem Using Multi—agent Model Basedon Belief Interaction
Continuous Function Optimization Using Hybrid Ant Colony Approachwith Orthogonal Design Scheme
Niching for Dynamic Environments Using Particle SwarmOptimization
A New Ant Colony Optimization Applied for the MultidimensionalKnapsack Problem
Numerical Optimization Using Organizational Particle SwarmAlgorithm
A Hybrid Discrete Particle Swarm Algorithm for Open—ShopProblems
Particle Swarms Cooperative Optimization for Coalition GenerationProblem
……
Evolurionary Optimisation
Hybrid Learning
Theoretical Issue in Evolutionary Comprtation
Real-World Applications of Evolutionary Computation Technipues
Author Index
