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Agent-Based Evolutionary Search

  • Book
  • © 2010

Overview

Editors:
  1. Ruhul Amin Sarker

    1. School of Engineering and Information Technology, University of New SouthWales , Canberra, ACT, Australia

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  2. Tapabrata Ray

    1. School of Engineering and Information Technology, University of New SouthWales , Canberra, ACT, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • State-of-the art in theory and practice of Agent Based Evolutionary Search
  • Includes novel frameworks and real-world applications of Agent Based Evolutionary Search
  • Written by leading experts in this field

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

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Table of contents (12 chapters)

  1. Front Matter

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  2. Agent Based Evolutionary Approach: An Introduction

    • Ruhul A. Sarker, Tapabrata Ray
    Pages 1-11

  3. Multi-Agent Evolutionary Model for Global Numerical Optimization

    • Jing Liu, Weicai Zhong, Licheng Jiao
    Pages 13-48

  4. An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints

    • Abu S. S. M. Barkat Ullah, Ruhul Sarker, Chris Lokan
    Pages 49-76

  5. Multiagent-Based Approach for Risk Analysis in Mission Capability Planning

    • Lam T. Bui, Axel Bender, Michael Barlow, Hussein A. Abbass
    Pages 77-96

  6. Agent Based Evolutionary Dynamic Optimization

    • Yang Yan, Shengxiang Yang, Dazhi Wang, Dingwei Wang
    Pages 97-116

  7. Divide and Conquer in Coevolution: A Difficult Balancing Act

    • Hemant Kumar Singh, Tapabrata Ray
    Pages 117-138

  8. Complex Emergent Behaviour from Evolutionary Spatial Animat Agents

    • K. A. Hawick, C. J. Scogings
    Pages 139-159

  9. An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller

    • Ying Lin, Jun Zhang
    Pages 161-177

  10. An Attempt to Stochastic Modeling of Memetic Systems

    • Aleksander Byrski, Robert Schaefer
    Pages 179-202

  11. Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm

    • Kim Soon Gan, Patricia Anthony, Jason Teo, Kim On Chin
    Pages 203-228

  12. PSO (Particle Swarm Optimization): One Method, Many Possible Applications

    • Federico Cecconi, Marco Campenní
    Pages 229-254

  13. VISPLORE: Exploring Particle Swarms by Visual Inspection

    • Namrata Khemka, Christian Jacob
    Pages 255-284

  14. Back Matter

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Keywords

About this book

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

Editors and Affiliations

  • School of Engineering and Information Technology, University of New SouthWales , Canberra, ACT, Australia

    Ruhul Amin Sarker, Tapabrata Ray

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