Overview
- Presents applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering
- Includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks
- Describes different aspects of imprecise reliability and applications of fuzzy and vague set theory
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 40)
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About this book
This two volume book covers the recent applications of computational intelli 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, fu zzy logic, evolutionary computing, and their hybrids and derivatives. Many indus tries have benefited from adopting this technology. The increased number of patents and diverse range of products devel 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 tech 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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Keywords
Table of contents (14 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Reliability Engineering
Book Subtitle: New Metaheuristics, Neural and Fuzzy Techniques in Reliability
Editors: Gregory Levitin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-37372-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-37371-1Published: 25 October 2006
Softcover ISBN: 978-3-642-07219-2Published: 17 November 2010
eBook ISBN: 978-3-540-37372-8Published: 10 January 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 413
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Quality Control, Reliability, Safety and Risk, Applications of Mathematics, Computational Intelligence