Computational Intelligence in Reliability Engineering : Evolutionary Techniques in Reliability Analysis and Optimization

This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm...

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Bibliografiske detaljer
Hovedforfatter: Levitin, Gregory (Éditeur intellectuel)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2007.
Serier:Studies in Computational Intelligence 39
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Edition sous un autre format:• Computational intelligence in reliability engineering, evolutionary techniques in reliability analysis and optimization, Gregory Levitin (ed.), Berlin, Springer, 2007, 1 vol. (XIV-398 p.), Studies in computational intelligence, 3-540-37367-5
• Computational Intelligence in Reliability Engineering, Texte imprimé, 9783540827788
• Computational Intelligence in Reliability Engineering, Texte imprimé, 9783642072185
• Computational intelligence in reliability engineering, evolutionary techniques in reliability analysis and optimization, Gregory Levitin (ed.), Berlin, Springer, 2007, 1 vol. (XIV-398 p.), Studies in computational intelligence, 3-540-37367-5
Beskrivelse
Summary:This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques. Genetic algorithms are one of the most widely used metaheuristics, inspired by the optimization procedure that exists in nature, the biological phenomenon of evolution
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Archives Springer e-books (Licence nationale)
ISBN:9783540373681
ISSN:1860-9503
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