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Particle swarm optimization

Author: Maurice Clerc
Publisher: London ; Newport Beach : ISTE, 2006.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Clerc, Maurice.
Particle swarm optimization.
London ; Newport Beach : ISTE, 2006
(DLC) 2005037211
(OCoLC)62782104
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Maurice Clerc
ISBN: 9781847045546 1847045545
OCLC Number: 156937032
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (243 pages) : illustrations
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: Preliminaries; Table of Contents; 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 Graphs of Influence; Chapter 8. Distributions of Proximity; Chapter 9. Optimal Parameter Settings; Chapter 10. Adaptations; Chapter 11. TRIBES or Cooperatin of Tribes; Chapter 12. On the Constraints; Chapter 13. Problems and Application; chapter 14. Conclusion; Chapter 15. On Parallelism; Chapter 16. Combinatorial Problems.
Other Titles: Optimisation par essaims particulaires.
Responsibility: Maurice Clerc.

Abstract:

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.  Read more...

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