Overview
- Covers the recent applications of computational intelligence techniques in reliability engineering
- Contains a survey of the contributions made to the optimal reliability design literature in the resent years
- Presents applications of a genetic algorithm in reliability engineering and combinations with other computational intelligence techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 39)
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Table of contents (12 chapters)
Keywords
About this book
Reviews
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)
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Reliability Engineering
Book Subtitle: Evolutionary Techniques in Reliability Analysis and Optimization
Editors: Gregory Levitin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-37368-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-37367-4Published: 26 October 2006
Softcover ISBN: 978-3-642-07218-5Published: 19 November 2010
eBook ISBN: 978-3-540-37368-1Published: 13 December 2006
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 398
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Quality Control, Reliability, Safety and Risk, Applications of Mathematics, Computational Intelligence