摘要
应用可靠性稳健优化设计理论和多目标决策方法,将结构可靠性稳健优化设计转化为多目标优化问题。运用灰色理论中的关联分析法,选取粒子群算法中的全局极值和个体极值,提出了灰色粒子群算法求解可靠性稳健优化设计问题。与传统方法相比,该方法简便易行并能迅速准确地得到结构可靠性稳健优化设计信息。
Structural reliability design optimization is transformed into the optimization with multi-objective decision-making approach. The global optimum and personal optimum in PSO algorithm are selected with relevancy analysis method of the Grey Theory. Thus, a Grey Swarm Particle Optimization (Grey PSO) algorithm is presented for the robust optimization design on reliability, and applied to rear-axle housing of a vehicle as a numerical example.
出处
《应用力学学报》
EI
CAS
CSCD
北大核心
2007年第2期267-271,共5页
Chinese Journal of Applied Mechanics
基金
国家自然科学基金(50535010)
辽宁省自然科学基金(20052034)
辽宁省高等学校创新团队项目基金
关键词
稳健优化设计
灰色粒子群算法
随机摄动法
多目标优化
robust design optimization, grey particle swarm optimization, probabilistic perturbation method, multi-objective optimization
