2015 Annual Reliability and Maintainability Symposium (RAMS) 2015
DOI: 10.1109/rams.2015.7105092
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Redundancy allocation with non-identical component and uncertainty

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Cited by 3 publications
(5 citation statements)
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“…RAP is a problem of NP-hard class [68], and a meta-heuristic algorithm is here developed to search for the optimal solution. The genetic algorithm (GA) is a well-known meta-heuristic method for solving combinatorial optimization problems [69] and, indeed, it has been successfully employed for solving optimization problems in various fields [1,[4][5][6]8,24,30,38,[41][42][43][44][45][46][47]56]. In the following, the deployment of the algorithm for the solution of the proposed RAP is briefly described.…”
Section: Rap Solution Methodsmentioning
confidence: 99%
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“…RAP is a problem of NP-hard class [68], and a meta-heuristic algorithm is here developed to search for the optimal solution. The genetic algorithm (GA) is a well-known meta-heuristic method for solving combinatorial optimization problems [69] and, indeed, it has been successfully employed for solving optimization problems in various fields [1,[4][5][6]8,24,30,38,[41][42][43][44][45][46][47]56]. In the following, the deployment of the algorithm for the solution of the proposed RAP is briefly described.…”
Section: Rap Solution Methodsmentioning
confidence: 99%
“…At each iteration, new offspring are generated by implementation of the crossover and mutation operators. The roulette wheel selection method is used to select the parents [8,40]. In the roulette wheel selection method, selection of the parents occurs based on their fitness function value: in other words, a solution is selected with probability proportional to its fitness function.…”
Section: Selectionmentioning
confidence: 99%
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