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Simulated Evolution and Learning

6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Tzai-Der Wang

    1. Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

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  2. Xiaodong Li

    1. School of Computer Science and information Technology, RMIT University, Melbourne, Australia

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  3. Shu-Heng Chen

    1. AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, Taiwan

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  4. Xufa Wang

    1. Department of Computer Science and Technology, University of Sci. & Tech. of China, Hefei, Anhui, P.R. China

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  5. Hussein Abbass

    1. School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

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  6. Hitoshi Iba

    1. The Univertity of Tokyo, Japan

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  7. Guo-Liang Chen

    1. Department of Computer, University of Science and Technology of China, Hefei, China

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  8. Xin Yao

    1. University of Birmingham, Birmingham, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4247)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: SEAL 2006.

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Keywords

Table of contents (117 papers)

  1. Front Matter

    Download chapter PDF

  2. Evolutionary Learning

    1. Evolutionary Dynamics on Graphs: The Moran Process

      • P. A. Whigham, G. Dick
      Pages 1-8

    2. Generalized Embedded Landscape and Its Decomposed Representation

      • Shude Zhou, Robert B. Heckendorn, Zengqi Sun
      Pages 9-17

    3. Representative Selection for Cooperative Co-evolutionary Genetic Algorithms

      • Sun Xiao-yan, Gong Dun-wei, Hao Guo-sheng
      Pages 18-25

    4. Kernel Matching Pursuit Based on Immune Clonal Algorithm for Image Recognition

      • Shuiping Gou, Licheng Jiao, Yangyang Li, Qing Li
      Pages 26-33

    5. Power Quality Disturbance Detection and Classification Using Chirplet Transforms

      • Guo-Sheng Hu, Feng-Feng Zhu, Yong-Jun Tu
      Pages 34-41

    6. Ensemble Learning Classifier System and Compact Ruleset

      • Yang Gao, Lei Wu, Joshua Zhexue Huang
      Pages 42-49

    7. The Role of Early Stopping and Population Size in XCS for Intrusion Detection

      • Kamran Shafi, Hussein A. Abbass, Weiping Zhu
      Pages 50-57

    8. Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach

      • Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej
      Pages 58-63

    9. Solving Traveling Salesman Problems by Artificial Immune Response

      • Maoguo Gong, Licheng Jiao, Lining Zhang
      Pages 64-71

    10. A Strategy of Mutation History Learning in Immune Clonal Selection Algorithm

      • Yutao Qi, Xiaoying Pan, Fang Liu, Licheng Jiao
      Pages 72-79

    11. Quantum-Inspired Immune Clonal Algorithm for Multiuser Detection in DS-CDMA Systems

      • Yangyang Li, Licheng Jiao, Shuiping Gou
      Pages 80-87

    12. Innate and Adaptive Principles for an Artificial Immune System

      • M. Middlemiss, P. A. Whigham
      Pages 88-95

    13. Immune-Based Dynamic Intrusion Response Model

      • SunJun Liu, Tao Li, Kui Zhao, Jin Yang, Xun Gong, JianHua Zhang
      Pages 96-103

    14. Immune Multi-agent Active Defense Model for Network Intrusion

      • SunJun Liu, Tao Li, DianGang Wang, Kui Zhao, Xun Gong, XiaoQing Hu et al.
      Pages 104-111

    15. An Immune Mobile Agent Based Grid Intrusion Detection Model

      • Xun Gong, Tao Li, Tiefang Wang, Jin Yang, Sunjun Liu, Gang Liang
      Pages 112-119

    16. Solving Optimization Problem Using Multi-agent Model Based on Belief Interaction

      • Guo Dongwei, Liu Yanbin, Zhang Na, Wang Kangping
      Pages 120-125

    17. Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme

      • Jun Zhang, Wei-neng Chen, Jing-hui Zhong, Xuan Tan, Yun Li
      Pages 126-133

    18. Niching for Dynamic Environments Using Particle Swarm Optimization

      • Isabella Schoeman, Andries Engelbrecht
      Pages 134-141

    19. A New Ant Colony Optimization Applied for the Multidimensional Knapsack Problem

      • Min Kong, Peng Tian
      Pages 142-149
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Other volumes

  1. Simulated Evolution and Learning

Editors and Affiliations

  • Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

    Tzai-Der Wang

  • School of Computer Science and information Technology, RMIT University, Melbourne, Australia

    Xiaodong Li

  • AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, Taiwan

    Shu-Heng Chen

  • Department of Computer Science and Technology, University of Sci. & Tech. of China, Hefei, Anhui, P.R. China

    Xufa Wang

  • School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

    Hussein Abbass

  • The Univertity of Tokyo, Japan

    Hitoshi Iba

  • Department of Computer, University of Science and Technology of China, Hefei, China

    Guo-Liang Chen

  • University of Birmingham, Birmingham, UK

    Xin Yao

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