科技创新与应用2024，Vol.14Issue(3)：69-73,80,6.DOI:10.19981/j.CN23-1581/G3.2024.03.017
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
摘要
Abstract
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.关键词
差分进化算法/模式搜索算法/概率优化/高压容器/收敛速度Key words
differential evolution algorithm/pattern search algorithm/probability optimization/high pressure vessel/convergence rate分类
信息技术与安全科学引用本文复制引用
赵晖,卢青波..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[J].科技创新与应用,2024,14(3):69-73,80,6.基金项目
河南省高等学校重点科研项目(23B460016) （23B460016）
