Название: Guided Randomness in Optimization, Volume 1
Автор: Maurice Clerc
Издательство: John Wiley & Sons Limited
Жанр: Программирование
isbn: 9781119136446
isbn: 0
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.