Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Authors:

ISBN: 978-3-642-40178-7 (Print) 978-3-642-40179-4 (Online)

Table of contents (9 chapters)

  1. Front Matter

    Pages 1-8

  2. Biological Computing and Optimization

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-19

      Bio-inspired Computing

    3. No Access

      Chapter

      Pages 21-28

      Combinatorial Optimization

  3. Ant Algorithms

    1. Front Matter

      Pages 29-29

    2. No Access

      Chapter

      Pages 31-55

      Introduction

    3. No Access

      Chapter

      Pages 57-80

      Local Guided Ant Search

    4. No Access

      Chapter

      Pages 81-104

      Sensitivity: A Metaheuristic Model

  4. Bio-inspired Multi-agent Systems

    1. Front Matter

      Pages 105-105

    2. No Access

      Chapter

      Pages 107-122

      Stigmergic Collaborative Agents

  5. Applications with Bio-inspired Algorithms

    1. Front Matter

      Pages 123-123

    2. No Access

      Chapter

      Pages 125-141

      Ant-Based Algorithms for Dynamic Problems

    3. No Access

      Chapter

      Pages 143-161

      Agent-Based Algorithms for Diverse Problems

  6. Conclusions and Remarks

    1. Front Matter

      Pages 163-163

    2. No Access

      Chapter

      Pages 165-170

      Conclusions and the Results Impact

  7. Back Matter

    Pages 171-188