Techniques

New PDF release: Computational Intelligence in Reliability Engineering:

By Way Kuo, Rui Wan (auth.), Dr. Gregory Levitin (eds.)

ISBN-10: 3540373675

ISBN-13: 9783540373674

ISBN-10: 3540373683

ISBN-13: 9783540373681

This publication covers the new functions of computational intelligence concepts in reliability engineering. This quantity features a survey of the contributions made to the optimum reliability layout literature within the resent years and chapters dedicated to various functions of a genetic set of rules in reliability engineering and to mixtures of this set of rules with different computational intelligence suggestions. Genetic algorithms are essentially the most time-honored metaheuristics, encouraged through the optimization method that exists in nature, the organic phenomenon of evolution.

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Extra info for Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization

Sample text

Computers & Industrial Engineering 37: 145-149 [123] Tillman FA, Hwang CL, Kuo W (1977) Optimization techniques for system reliability with redundancy- a review. IEEE Transactions on Reliability R26: 148-152 [124] Wattanapongsakorn N, Levitan SP (2004) Reliability optimization models for embedded systems with multiple applications. IEEE Transactions on Reliability 53: 406-416 [125] Wolfram S (1984) Cellular automata as models of complexity. Nature, 3H [126] Yalaoui A, Chu C, Châtelet E (2005) Reliability allocation problem in a series-parallel system.

Ref [131] presents an efficient computational methodology to obtain the optimal system structure of a static transfer switch, a typical power electronic device. This device can be decomposed into several components and 18 Way Kuo and Rui Wan its equivalent reliability block diagram is obtained by the minimal cut set method. Because of the existence of unit-to-unit variability, each component chosen from several off-the-shelf types is considered with failure rate uncertainty, which is modeled by a normal, or triangular, distribution.

And a great deluge algorithm is extended and applied to optimize the reliability of complex systems in [107]. When both accuracy and speed are considered simultaneously, it is proven to be an efficient alternative to ACO and other existing optimization techniques. 2 Exact Methods Unlike meta-heuristic algorithms, exact methods provide exact optimal solutions though much more computation complexity is involved. The development of exact methods, such as the branch-and-bound approach and lexicographic search, has recently been concentrated on techniques to reduce the search space of discrete optimization methods.

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Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization by Way Kuo, Rui Wan (auth.), Dr. Gregory Levitin (eds.)


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