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Synopsis
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.
"synopsis" may belong to another edition of this title.
About the Author
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 (eXtended Particle Swarm) project.
"About this title" may belong to another edition of this title.
- PublisherWiley-ISTE
- Publication date2015
- ISBN 10 1848218052
- ISBN 13 9781848218055
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages316
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Guided Randomness in Optimization, Volume 1
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ISBN 10: 1848218052
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Guided Randomness in Optimization (Metaheuristics Set)
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Guided Randomness in Optimization
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Gebunden. Condition: New. The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc. ) and other more sophisticated.Klap. Seller Inventory # 448372962
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