Skip to main content
SpringerLink
Log in

Computational Intelligence in Reliability Engineering

New Metaheuristics, Neural and Fuzzy Techniques in Reliability

  • Book
  • © 2007

Overview

Editors:
  1. Gregory Levitin

    1. Research & Development Division, The Israel Electronic Corporation Ltd., Haifa, Israel

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. The Ant Colony Paradigm for Reliable Systems Design

    • Yun-Chia Liang, Alice E. Smith
    Pages 1-20

  3. Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization

    • Vadlamani Ravi
    Pages 21-36

  4. Applications of the Cross-Entropy Method in Reliability

    • Dirk P. Kroese, Kin-Ping Hui
    Pages 37-82

  5. Particle Swarm Optimization in Reliability Engineering

    • Gregory Levitin, Xiaohui Hu, Yuan-Shun Dai
    Pages 83-112

  6. Cellular Automata and Monte Carlo Simulation for Network Reliability and Availability Assessment

    • Claudio M. Rocco S., Enrico Zio
    Pages 113-144

  7. Network Reliability Assessment through Empirical Models using a Machine Learning Approach

    • Claudio M. Rocco S., Marco Muselli
    Pages 145-174

  8. Neural Networks for Reliability-Based Optimal Design

    • Ming J Zuo, Zhigang Tian, Hong-Zhong Huang
    Pages 175-196

  9. Software Reliability Predictions using Artificial Neural Networks

    • Q. P. Hu, M. Xie, S. H. Ng
    Pages 197-222

  10. Computation Intelligence in Online Reliability Monitoring

    • Ratna Babu Chinnam, Bharatendra Rai
    Pages 223-260

  11. Imprecise Reliability: An Introductory Overview

    • Lev V. Utkin, Frank P. A. Coolen
    Pages 261-306

  12. Posbist Reliability Theory for Coherent Systems

    • Hong-Zhong Huang, Xin Tong, Ming J Zuo
    Pages 307-346

  13. Analyzing Fuzzy System Reliability Based on the Vague Set Theory

    • Shyi-Ming Chen
    Pages 347-362

  14. Fuzzy Sets in the Evaluation of Reliability

    • Olgierd Hryniewicz
    Pages 363-386

  15. Grey Differential Equation GM(1,1) Models in Repairable System Modeling

    • Renkuan Guo
    Pages 387-413
Back to top

Keywords

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.

Editors and Affiliations

  • Research & Development Division, The Israel Electronic Corporation Ltd., Haifa, Israel

    Gregory Levitin

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation