| Title | : | Guided Randomness in Optimization, Volume 1 |
|---|---|---|
| Author | : | Maurice Clerc |
| Release | : | 2015-05-04 |
| Kind | : | ebook |
| Genre | : | Computers, Books, Computers & Internet |
| Size | : | 6434842 |
| 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. |
