Development of a method based on combination of simulation and Particle Swarm Optimization to solve reliability problem in uncertainty conditions

Nowadays، reliability problem is one of the most important issues at early stages of planning، designing and control of production systems. In this paper، the authors try to develop a hybrid simulation-optimization method in order to solve reliability problem for series-parallel system in uncertainty condition with stochastic constraints. We propose a method in which first، a population of fairly good solutions is generated by simulation technique and then، these solutions are improved by Particle Swarm Optimization (PSO). To assess the efficiency of the proposed algorithm، the results of this research were compared with previous similar studies. The results show that the proposed algorithm is superior. The strength of the proposed algorithm is higher average and lower standard deviation of solutions obtained in successive iteration.