Computational Intelligence in Reliability Engineering

New Metaheuristics, Neural and Fuzzy Techniques in Reliability

  • Gregory┬áLevitin

Part of the Studies in Computational Intelligence book series (SCI, volume 40)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Yun-Chia Liang, Alice E. Smith
    Pages 1-20
  3. Dirk P. Kroese, Kin-Ping Hui
    Pages 37-82
  4. Gregory Levitin, Xiaohui Hu, Yuan-Shun Dai
    Pages 83-112
  5. Ming J Zuo, Zhigang Tian, Hong-Zhong Huang
    Pages 175-196
  6. Ratna Babu Chinnam, Bharatendra Rai
    Pages 223-260
  7. Lev V. Utkin, Frank P. A. Coolen
    Pages 261-306
  8. Hong-Zhong Huang, Xin Tong, Ming J Zuo
    Pages 307-346
  9. Olgierd Hryniewicz
    Pages 363-386

About this book


This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.


algorithm algorithms artificial neural network automata fuzzy heuristics intelligence learning metaheuristic network networks neural networks optimization reliability reliability engineering

Editors and affiliations

  • Gregory┬áLevitin
    • 1
  1. 1.Research & Development DivisionThe Israel Electronic Corporation Ltd.HaifaIsrael

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-37371-1
  • Online ISBN 978-3-540-37372-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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