Akademibokhandeln
Gregory Levitin - Computational Intelligence in Reliability Engineering, Häftad

Häftad, Engelska, 2010

Del 39 i serien Studies in Computational Intelligence

Computational Intelligence in Reliability Engineering

Evolutionary Techniques in Reliability Analysis and Optimization

Av Gregory Levitin

2109 kr

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Beskrivning
This two-volume book covers the recent applications of computational intel- gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. “Computational Intelligence” covers many fields such as neural networks, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical te- niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem-solving methods have failed. The book aims to be a repository for the current and cutting-edge applications of computational intelligent techniques in reliability analysis and optimization.
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From the reviews: "This book is the first volume which covers ... metaheuristic approaches in multiobjective reliability optimization and application of genetic algorithms in reliability optimization. ... the reviewer would like to recommend this book to all reliability researchers to have a serious look at the material presented in the book and to reliability post graduate engineering students and mathematicians. ... would like to congratulate the editor for compiling a voluminous 'repository of the current and cutting edge computational intelligent techniques in reliability analysis and optimization'." (Krishna B. Misra, International Journal of Performability Engineering, Vol. 4 (3), 2008)

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