Guided Randomness in Optimization, Volume 1
Guided Randomness in Optimization, Volume 1 by Maurice Clerc
English | 2015 | ISBN: 1848218052 | 316 pages | PDF | 6,3 MB
English | 2015 | ISBN: 1848218052 | 316 pages | PDF | 6,3 MB
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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