Maurice Clerc 
Particle Swarm Optimization [EPUB ebook] 

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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.
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Содержание

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.

Об авторе

Maurice Clerc is recognized as one of the foremost PSO specialists in the world. A former France Telecom Research and Development engineer, he maintains his research activities as a consultant for the XPS (e Xtended Particle Swarm) project.
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язык английский ● Формат EPUB ● страницы 244 ● ISBN 9781118613979 ● Размер файла 3.5 MB ● издатель John Wiley & Sons ● опубликованный 2013 ● Издание 1 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 2651339 ● Защита от копирования Adobe DRM
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