Use of a Genetic Algorithm to Optimize a Combinatorial Reliability Design Problem
نویسندگان
چکیده
We apply a genetic algorithm (GA) to optimize a reliability design problem using a neural network as a reliability estimator for calculation of the objective function value during the search. The GA produces the lowest cost option for a required system reliability by selecting the appropriate parts and levels of redundancy. We show that the neural network estimator is effective and computationally efficient, and that the GA optimization approach is robust for reliability design of complex systems.
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تاریخ انتشار 1998