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.
Author(s): Gregory Levitin, Gregory Levitin
Series: Studies in Computational Intelligence
Edition: 1
Publisher: Springer
Year: 2006
Language: English
Pages: 412
3540373675......Page 1
Contents......Page 8
1 Recent Advances in Optimal Reliability Allocation......Page 16
2 Multiobjective Metaheuristic Approaches to Reliability Optimization......Page 52
3 Genetic Algorithm Applications in Surveillance and Maintenance Optimization......Page 78
4 Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation......Page 115
5 New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization......Page 165
6 Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms......Page 205
7 Intelligent Interactive Multiobjective Optimization of System Reliability......Page 229
8 Reliability Assessment of Composite Power Systems Using Genetic Algorithms......Page 251
9 Genetic Optimization of Multidimensional Technological Process Reliability......Page 301
10 Scheduling Multiple-version Programs on Multiple Processors......Page 315
11 Redundancy Optimization Problems with Uncertain Lifetimes......Page 343
12 Computational Intelligence Methods in Software Reliability Prediction......Page 389
