Agent-Based Optimization

ISBN: 978-3-642-34096-3 (Print) 978-3-642-34097-0 (Online)
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Table of contents (8 chapters)

  1. Front Matter

    Pages 1-8

  2. Book Chapter

    Pages 1-28

    Machine Learning and Multiagent Systems as Interrelated Technologies

  3. Book Chapter

    Pages 29-53

    Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem

  4. Book Chapter

    Pages 55-75

    Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-agent Non-distributed and Distributed Environment

  5. Book Chapter

    Pages 77-102

    Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation

  6. Book Chapter

    Pages 103-122

    Triple-Action Agents Solving the MRCPSP/Max Problem

  7. Book Chapter

    Pages 123-141

    Team of A-Teams - A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems

  8. Book Chapter

    Pages 143-174

    Distributed Bregman-Distance Algorithms for Min-Max Optimization

  9. Book Chapter

    Pages 175-201

    A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure

  10. Back Matter

    Pages 0--1