Dansk
Clerc, Maurice
(forfatter)
Guided Randomness in Optimization, Volume 1 e-bog
1313,81 DKK
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 "e;superfluous chance,"e; succinctly explaining why and h…
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 "e;superfluous chance,"e; succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.
E-bog
1313,81 DKK
Forlag
Wiley-ISTE
Udgivet
04.05.2015
Genrer
Electronics and communications engineering
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781119136453
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 "e;superfluous chance,"e; succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.