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Detailed review of:
Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization
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Publishers
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Springer
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Author
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Gregory Levitin
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Title
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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization
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Year of Publication
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2007
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Pages
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412
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ISBN
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978354037367
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Reviewer
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Krishna B. Misra
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Status
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Review Complete
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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
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".
K. B. Misra
This review has been published in the International Journal of Performability Engineering, Vol. 4, No. 3, July 2008 issue on page 297
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