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. Num Pages: 316 pages, black & white illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 23. Weight in Grams: 624. . 2015. 1st Edition. Hardcover. . . . .

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Bibliographic Details

Title

Guided Randomness in Optimization, Volume 1

Publisher

ISTE Ltd and John Wiley & Sons Inc

Publication Date

2015

Language

English

ISBN 10

1848218052

ISBN 13

9781848218055

Binding

Hardcover

Edition

1st Edition

Condition

New

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About this title

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.

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.

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