Guided Randomness in Optimization, Volume 1

Product Number: EB00611036
Released: May 20, 2015
Business Term: Purchase
ISBN: #9781119136453
Publisher: Wiley-ISTE
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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.

Author(s): Maurice Clerc
Genre: Science
Original Publish Date: May 04, 2015

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