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Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006


Detailed review of: 

Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization









Gregory Levitin 




Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization


Year of Publication














Krishna B. Misra




Review published in IJPE, Vol. 4, No. 3, July 2008, p. 297. 

The book consists of 12 chapters as follows:

Chapter 1
Recent Advances in Optimal Reliability Allocation : Way Kuo and Rui Wan
  36  Pages
Chapter 2
Multiobjective Metaheuristic Approaches to Reliability Optimization:
Sadan Kulturel-Konak                
  26  Pages
Chapter 3
Genetic Algorithm Applications in Surveillance and Maintenance Optimization: Sebastian Martorell, Sofia Carlos and Jose F. Villanueva                                                  
  37  Pages 
Chapter 4
Genetic Algorithms and Monte Carlo Simulation for Optimization of System Design and Operation: Marzio Marseguerra, Enrico Zio        
  50  Pages
Chapter 5
New Evolutionary Methodologies for Integrated Safety System Design and
Maintenance  Optimization: B. Galvan, G. Winter, D. Greiner and D. Salazar                  
  40  Pages
Chapter 6
Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms: Zhigang Tian, Ming J. Zuo and Hong-Zhong Huang 
  24  Pages
Chapter 7
Intelligent Interactive Multiobjective Optimization of System Reliability:
Hong-Zhong Huang and Ming J. Zuo               
  22  Pages
Chapter 8
Reliability Assessment of Composite Power Systems using Genetic Algorithms: Nader Samaan and Chanan Singh      
  50  Pages
Chapter 9
Genetic Optimization of Multidimensional Technological Process Reliability:
Alexander Rotshtein, and Serhiy Shtovba  
  14  Pages
Chapter 10
Scheduling Multiple-version Programs on Multiple Processors:
Piotr Jedrzejowicz and Ewa Ratajezak                  
  28  Pages 
Chapter 11
Redundancy Optimization Problems with Uncertain Lifetimes:
 Ruiquing Zhao and Wansheng Tan      
  46  Pages
Chapter 12
Computational Intelligence Methods in Software Reliability Prediction:
Liang Tian and Afzel Noore    
  24 Pages   

 Dr. Levitin, who introduced and popularized Universal Generating Function approach to reliability analysis and optimization, has actually brought out two volumes on the subject of "Computational Intelligence techniques" in reliability engineering. This book is the first volume which covers besides the survey of recent optimal reliability design techniques by Prof Way Kuo (who has written a

Computational Intelligence in Reliability Engineering Evolutionary Techniques in Reliability Analysis and Optimization

book on the subject along with Prof. Ming J. Zuo and published by Wiley and was earlier reviewed in this journal (Vol.2, No.4, Oct. 2006, p. 330)), metaheuristic approaches in multiobjective reliability optimization and application of genetic algorithms in reliability optimization. The second volume (which is not made available for review) is said to deal with techniques like ant colony optimization, great deluge algorithm, cross-entropy method etc. along with application of fuzzy set theory and neural networks. It can be argued if these sophisticated and sometimes time consuming and computationally complex techniques are desired over other simpler and computationally fast techniques. It will be a valuable contribution if someone would highlight the advantage of time or size of the system being studied they may provide? However, from the research point of view, it may be worthwhile to study and investigate these techniques. It would also be worthwhile if someone would come up with advantage of these techniques for specific engineering applications, not necessarily for reliability optimization, for which better and simpler techniques are easily available. However, 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. However, the reviewer 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

Review published in the International Journal of Performability Engineering, Vol. 4, No. 3, July 2008, p. 297. 


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