%0 Journal Article %T A Hybrid Genetic Algorithm/Simulation Approach for Redundancy Optimization with Objective of Maximizing Mean Lifetime and Considering Component Selection %J International Journal of Research in Industrial Engineering %I Ayandegan Institute of Higher Education %Z 2783-1337 %A Karimi, H. %A Najafi, A.A. %D 2013 %\ 06/01/2013 %V 2 %N 2 %P 35-46 %! A Hybrid Genetic Algorithm/Simulation Approach for Redundancy Optimization with Objective of Maximizing Mean Lifetime and Considering Component Selection %K Reliability %K Redundancy allocation problem %K Monte Carlo Method %K Genetic algorithm %K means time to failure %R %X In this paper, we consider a reliability redundancy optimization problem in a series-parallel type system employing the redundancy strategy of cold-standby. The problem consists of two parts component selection and determination of redundancy level of each component—which need to be solved so that the mean lifetime of the system can be maximized. The redundancy allocation problem is nondeterministic polynomial-time hard and is solved by a combined genetic algorithm - simulation approach. Finally, this algorithm is tested on 33 benchmark problems. %U https://www.riejournal.com/article_47939_85d652f9ef5f69d3594e134e10009ca8.pdf