Guided Randomness in Optimization, Volume 1: Volume 1
Mey 2015 · Kuthengiswe ngu-John Wiley & Sons
I-Ebook
316
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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.
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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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