Guided Randomness in Optimization, Volume 1
| By: | Maurice Clerc |
| Publisher: | Wiley Global Research (STMS) |
| Print ISBN: | 9781848218055 |
| eText ISBN: | 9781119136453 |
| Edition: | 1 |
| Copyright: | 2015 |
| Format: | Reflowable |
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Table of Contents
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.