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  • 模拟演化和学习 - 书籍详细信息
  • 查看同类图书:科学技术»计算机/网络»人工智能»模拟演化和学习
  • 模拟演化和学习

  • 【作 者】:Tzai-Der Wang
  • 【又/译名】:LNCS-4247:Simulated evolution and learning
  • 【丛编项】:
  • 【装帧项】:平装 / 940
  • 【出版项】:湖南文艺出版社 / 2006-12-1
  • 【ISBN号】:9783540473312 / 3540473319
  • 【原书定价】:¥1,039.60 有1家书店打折销售 
  • 【主题词】:计算机/网络-人工智能
  • 【图书简介】
      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.-读书网|DuShu.com
  • 【本书目录】
    Evolutionary Learning
     Evolutionary Dynamics on Graphs:The Moran Process
     Generalized Embedded Landscape and Its Decomposed Representation
     Representative Selection for Cooperative Co—evolutionary Genetic Algorithms
     Kernel Matching Pursuit Based on Immune Clonal Algorithm for 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 Intrusion Derection
     Improving Radial Basis Function Networks for Human Face
     Recognition Using a Soft Compl~ting Approach
     Solving Traveling Salesman Problems by Artificial Immune Response
     A Strategy of Mutation History Learning in Immune Clonal Selection Algorithm
     Quantum—Inspired Immune Clonal Algorithm for Multiuser Detection in 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 Based on Belief Interaction
     Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme
     Niching for Dynamic Environments Using Particle Swarm Optimization
     A New Ant Colony Optimization Applied for the Multidimensional Knapsack Problem
     Numerical Optimization Using Organizational Particle Swarm Algorithm
     A Hybrid Discrete Particle Swarm Algorithm for Open—Shop Problems
     Particle Swarms Cooperative Optimization for Coalition Generation Problem
    ……
    Evolurionary Optimisation
    Hybrid Learning
    Theoretical Issue in Evolutionary Comprtation
    Real-World Applications of Evolutionary Computation Technipues
    Author Index
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