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Guided Randomness in Optimization, Volume 1

Guided Randomness in Optimization, Volume 1 by Maurice Clerc
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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.

Wiley; May 2015
ISBN 9781119136453
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Title: Guided Randomness in Optimization, Volume 1
Author: Maurice Clerc
 
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