混合模式搜索差分进化算法研究及其在高压容器概率优化中的应用OA

In order to solve the probabilistic optimization problem of high pressure vessel and improve the convergence speed of differential evolution algorithm,a hybrid differential evolution algorithm based on pattern search algorithm is proposed.In the later stage of the differential evolution algorithm,the pattern search operator is introduced,and the best point of the current population is used as the base point of the pattern search operator to search the pattern.The simulation results show that the convergence speed of the hybrid algorithm is obviously better than that of the differential evolution algorithm.Finally,the probabilistic optimization design model of high pressure vessel is established,and the deterministic optimization model and probabilistic optimization model of high pressure vessel optimization problem are solved by hybrid algorithm.The results show that the optimization result of probabilistic optimization model is more reasonable and reliable.