# Particle Swarm Optimization

ISBN: 9781905209040

Publication Date: February 2006 Hardback 248 pp.

150.00 USD

eBooks

Description

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies. Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization. Particle Swarm Optimization explains the basic principles of the subject, particularly the concepts of particles, information link, memory and cooperation. Starting from a simple but efficient parametric version coded in a few lines, it shows how this can be gradually enhanced to lead to a fully adaptive version. All source programs are either included in the book or are downloadable for free.

Contents

Part 1. Particle Swarm Optimization

1. What is a Difficult Problem?

2. On a Table Corner.

3. First Formulations.

4. Benchmark Set.

5. Mistrusting Chance.

6. First Results.

7. Swarm: Memory and Influence Graphs.

8. Distributions of Proximity.

9. Optimal Parameter Settings.

10. Adaptations.

11. TRIBES or Co-operation of Tribes.

12. On the Constraints.

13. Problems and Applications.

14. Conclusion.

Part 2. Outlines

15. On Parallelism.

16. Combinatorial Problems.

17. Dynamics of a Swarm.

18. Techniques and Alternatives.

About the Authors

Maurice Clerc is recognized as one of the foremost PSO specialists in the world.

A former France Telecom Research & Development engineer, he maintains his research activities as a consultant for the XPS (eXtended Particle Swarm) project.

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