Particle Swarm Optimization

Maurice Clerc, France Télécom, France

ISBN: 9781905209040

Publication Date: February 2006 Hardback 248 pp.

120.00 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.

Downloads

Download Table of Contents - PDF File - 162 Kb