Computational Intelligence in Reliability Engineering

1. Front Matter

   Pages I-XIV

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2. Recent Advances in Optimal Reliability Allocation

   • Way Kuo, Rui Wan

   Pages 1-36

3. Multiobjective Metaheuristic Approaches to Reliability Optimization

   • Sadan Kulturel-Konak, Abdullah Konak, David W. Coit

   Pages 37-62

4. Genetic Algorithm Applications in Surveillance and Maintenance Optimization

   • Sebastián Martorell, Sofía Carlos, José F. Villanueva, Ana Sánchez

   Pages 63-99

5. Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation

   • Marzio Marseguerra, Enrico Zio, Luca Podofillini

   Pages 101-150

6. New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization

   • B. Galván, G. Winter, D. Greiner, D. Salazar, M. Méndez

   Pages 151-190

7. Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms

   • Zhigang Tian, Ming J Zuo, Hong-Zhong Huang

   Pages 191-214

8. Intelligent Interactive Multiobjective Optimization of System Reliability

   • Hong-Zhong Huang, Zhigang Tian, Ming J Zuo

   Pages 215-236

9. Reliability Assessment of Composite Power Systems Using Genetic Algorithms

   • Nader Samaan, Chanan Singh

   Pages 237-286

10. Genetic Optimization of Multidimensional Technological Process Reliability

    • Alexander Rotshtein, Serhiy Shtovba

    Pages 287-300

11. Scheduling Multiple-version Programs on Multiple Processors

    • Piotr Jedrzejowicz, Ewa Ratajczak

    Pages 301-328

12. Redundancy Optimization Problems with Uncertain Lifetimes

    • Ruiqing Zhao, Wansheng Tang

    Pages 329-374

13. Computational Intelligence Methods in Software Reliability Prediction

    • Liang Tian, Afzel Noore

    Pages 375-398

This two-volume book covers the recent applications of computational intel- 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, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- 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 te- 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.

• algorithm
• algorithms
• calculus
• computational intelligence
• design
• evolution
• genetic algorithms
• intelligence
• metaheuristic
• multi-objective optimization
• optimization
• reliability
• reliability engineering
• safety
• simulation
• quality control, reliability, safety and risk

From the reviews:

"This book is the first volume which covers … metaheuristic approaches in multiobjective reliability optimization and application of genetic algorithms in reliability optimization. … 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. … 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, International Journal of Performability Engineering, Vol. 4 (3), 2008)

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

  Gregory Levitin

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