Maurice Clerc 
Guided Randomness in Optimization, Volume 1 [PDF ebook] 

Soporte

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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Sobre el autor

Maurice Clerc is recognized as one of the foremost PSO specialists in the world. A former France Telecom Research and Development engineer, he maintains his research activities as a consultant for the XPS (e Xtended Particle Swarm) project.

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Idioma Inglés ● Formato PDF ● Páginas 316 ● ISBN 9781119136446 ● Tamaño de archivo 8.3 MB ● Editorial John Wiley & Sons ● Publicado 2015 ● Edición 1 ● Descargable 24 meses ● Divisa EUR ● ID 4236927 ● Protección de copia Adobe DRM
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