Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
نویسندگان
چکیده
منابع مشابه
Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
Using meta-heuristic approaches to solve reliability and redundancy allocation problems (RRAP) has become attractive for researchers in recent years. In this paper, an optimization model is presented to maximize system reliability and minimize system cost simultaneously for multi-state weighted k-out-of-n systems. The model tends to optimize system design and maintenance activities over functio...
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This paper has been worked on a RAP with multi-state components and the performance rate of each component working state may increase by spending technical and organizational activities costs. Whereas RAP belongs to Np-Hard problems, we used Genetic algorithm (GA) and simulated annealing (SA) and for solving the presented problem and calculating system reliability universal generating function ...
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ژورنال
عنوان ژورنال: Applied and Computational Mathematics
سال: 2015
ISSN: 2328-5605
DOI: 10.11648/j.acm.s.2015040201.11