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Particle Swarm Optimization
ISBN-13:
9780470394434
Veröffentl:
2010
Einband:
E-Book
Seiten:
244
Autor:
Maurice Clerc
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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.
This is the first book devoted entirely to Particle SwarmOptimization (PSO), which is a non-specific algorithm, similar toevolutionary algorithms, such as taboo search and ant colonies.Since its original development in 1995, PSO has mainly beenapplied to continuous-discrete heterogeneous strongly non-linearnumerical optimization and it is thus used almost everywhere in theworld. Its convergence rate also makes it a preferred tool indynamic optimization.
Foreword.Introduction.Part 1: Particle Swarm Optimization.Chapter 1. What is a difficult problem?Chapter 2. On a table corner.Chapter 3. First formulations.Chapter 4. Benchmark set.Chapter 5. Mistrusting chance.Chapter 6. First results.Chapter 7. Swarm: memory and influence graphs.Chapter 8. Distributions of proximity.Chapter 9. Optimal parameter settings.Chapter 10. Adaptations.Chapter 11. TRIBES or co-operation of tribes.Chapter 12. On the constraints.Chapter 13. Problems and applications.Chapter 14. Conclusion.Part 2: Outlines.Chapter 15. On parallelism.Chapter 16. Combinatorial problems.Chapter 17. Dynamics of a swarm.Chapter 18. Techniques and alternatives.Further Information.Bibliography.Index.