Agent-Based Evolutionary Search

  • Ruhul Amin Sarker
  • Tapabrata Ray

Part of the Adaptation, Learning, and Optimization book series (ALO, volume 5)

Table of contents

  1. Front Matter
  2. Ruhul A. Sarker, Tapabrata Ray
    Pages 1-11
  3. Jing Liu, Weicai Zhong, Licheng Jiao
    Pages 13-48
  4. Abu S. S. M. Barkat Ullah, Ruhul Sarker, Chris Lokan
    Pages 49-76
  5. Lam T. Bui, Axel Bender, Michael Barlow, Hussein A. Abbass
    Pages 77-96
  6. Yang Yan, Shengxiang Yang, Dazhi Wang, Dingwei Wang
    Pages 97-116
  7. Hemant Kumar Singh, Tapabrata Ray
    Pages 117-138
  8. K. A. Hawick, C. J. Scogings
    Pages 139-159
  9. Aleksander Byrski, Robert Schaefer
    Pages 179-202
  10. Kim Soon Gan, Patricia Anthony, Jason Teo, Kim On Chin
    Pages 203-228
  11. Federico Cecconi, Marco Campenní
    Pages 229-254
  12. Namrata Khemka, Christian Jacob
    Pages 255-284
  13. Back Matter

About this book

Introduction

The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning.

This book presents the state-of-the art in the theory and practice of Agent Based Evolutionary Search and aims to increase the awareness on this effective technology. This includes novel frameworks, a convergence and complexity analysis, as well as real-world applications of Agent Based Evolutionary Search, a design of multi-agent architectures and a design of agent communication and learning Strategy.

Keywords

agents algorithm algorithms architecture calculus communication control evolution evolutionary algorithm genetic algorithms learning linear optimization model modeling optimization

Editors and affiliations

  • Ruhul Amin Sarker
    • 1
  • Tapabrata Ray
    • 1
  1. 1.School of Engineering and Information TechnologyUniversity of New SouthWales Canberra, ACTAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13425-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-13424-1
  • Online ISBN 978-3-642-13425-8
  • Series Print ISSN 1867-4534
  • Series Online ISSN 1867-4542
  • About this book