Computational Intelligence in Reliability Engineering New - download pdf or read online

By Gregory Levitin

This quantity comprises chapters providing purposes of other metaheuristics (ant colony optimization, nice deluge set of rules, cross-entropy approach and particle swarm optimization) in reliability engineering. additionally it is chapters dedicated to mobile automata and aid vector machines and diversified purposes of man-made neural networks, a robust adaptive procedure that may be used for studying, prediction and optimization. numerous chapters describe varied elements of obscure reliability and functions of fuzzy and obscure set concept.

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Extra resources for Computational Intelligence in Reliability Engineering New Metaheuristics Neural and Fuzzy Techniques in Reliability

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Ravi V, Murty BSN, Reddy PJ (1997) Nonequilibrium simulated annealing algorithm applied to reliability optimization of complex systems. IEEE Transactions on Reliability 46(2):233-239 40. Ravi V, Reddy PJ, Zimmermann H-J (2000) Fuzzy global optimization of complex system reliability. IEEE Transactions on Fuzzy Systems 8(3):241248 41. Samrout M, Yalaoui F, Châtelet E, Chebbo N (2005) New methods to minimize the preventive maintenance cost of series-parallel systems using ant colony optimization. Reliability Engineering and System Safety 89:346-354 42.

The cooling schedule is enforced as soon as an improved solution is obtained, without waiting for the occurrence of near-equilibrium condition at each temperature. This feature overcomes the slowness of the SA algorithm, without actually comprising on the quality of the global optimal solution (Cardoso et al. 1993). Further, this aspect significantly lowers the computational time. Later, Ravi et al. (1997) developed an extended version of the NESA, called INESA, by proposing a two-phase approach.

1 Great Deluge Algorithm Dueck and Scheuer (1990) proposed a faster and superior variant of simulated annealing namely the threshold accepting (TA) algorithm by employing a deterministic criterion compared to the probabilistic one used in SA while accepting/rejecting a candidate solution. Later, Dueck (1993) further extended the ideas proposed in TA and suggested two new optimization meta-heuristics viz. the great deluge algorithm (GDA) and record-torecord travel (RRT). He observed that GDA outperformed the original TA in the case of some hard, benchmark instances of the traveling salesman problem.

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