Biologically-Inspired Optimisation Methods

Parallel Algorithms, Systems and Applications


ISBN: 978-3-642-01261-7 (Print) 978-3-642-01262-4 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages -

  2. Chapter

    Pages 1-21

    Evolution’s Niche in Multi-Criterion Problem Solving

  3. Chapter

    Pages 23-49

    Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization

  4. Chapter

    Pages 51-78

    Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments

  5. Chapter

    Pages 79-109

    Dynamic Problems and Nature Inspired Meta-heuristics

  6. Chapter

    Pages 111-138

    Relaxation Labelling Using Distributed Neural Networks

  7. Chapter

    Pages 139-164

    Extremal Optimisation for Assignment Type Problems

  8. Chapter

    Pages 165-188

    Niching for Ant Colony Optimisation

  9. Chapter

    Pages 189-217

    Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas

  10. Chapter

    Pages 219-260

    The Radio Network Design Optimization Problem

  11. Chapter

    Pages 261-289

    Strategies for Decentralised Balancing Power

  12. Chapter

    Pages 291-323

    An Analysis of Dynamic Mutation Operators for Conformational Sampling

  13. Chapter

    Pages 325-354

    Evolving Computer Chinese Chess Using Guided Learning

  14. Back Matter

    Pages -