Computational Intelligence in Reliability Engineering

Evolutionary Techniques in Reliability Analysis and Optimization

  • Gregory Levitin

Part of the Studies in Computational Intelligence book series (SCI, volume 39)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Sadan Kulturel-Konak, Abdullah Konak, David W. Coit
    Pages 37-62
  3. Sebastián Martorell, Sofía Carlos, José F. Villanueva, Ana Sánchez
    Pages 63-99
  4. Marzio Marseguerra, Enrico Zio, Luca Podofillini
    Pages 101-150
  5. B. Galván, G. Winter, D. Greiner, D. Salazar, M. Méndez
    Pages 151-190
  6. Zhigang Tian, Ming J Zuo, Hong-Zhong Huang
    Pages 191-214
  7. Hong-Zhong Huang, Zhigang Tian, Ming J Zuo
    Pages 215-236
  8. Alexander Rotshtein, Serhiy Shtovba
    Pages 287-300
  9. Piotr Jedrzejowicz, Ewa Ratajczak
    Pages 301-328
  10. Ruiqing Zhao, Wansheng Tang
    Pages 329-374

About this book


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.


algorithm algorithms calculus computational intelligence design evolution genetic algorithms intelligence metaheuristic multi-objective optimization optimization reliability reliability engineering safety simulation

Editors and affiliations

  • Gregory Levitin
    • 1
  1. 1.Research & Development DivisionThe Israel Electric Corporation Ltd.HaifaIsrael

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-37367-4
  • Online ISBN 978-3-540-37368-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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