摘要:粒子群算法（Particle Swarm Optimization）是一種新出現(xiàn)的群智能（Swarm Intelligence）優(yōu)化方法。本文所介紹將其應(yīng)用于機(jī)械可靠性?xún)?yōu)化設(shè)計(jì)，建立基于粒子群算法的機(jī)械零部件可靠性?xún)?yōu)化設(shè)計(jì)的數(shù)學(xué)模型，并與遺傳算法作了對(duì)比試驗(yàn)。結(jié)果表明，粒子群算法可以快速、有效求得優(yōu)化解，是求解機(jī)械可靠性?xún)?yōu)化設(shè)計(jì)問(wèn)題的一個(gè)較好方案。
關(guān)鍵詞粒子群算法機(jī)械零部件可靠性?xún)?yōu)化設(shè)計(jì)
Abstract Particle Swarm Optimization（PSO）is a newly appeared method for Swarm Intelligence optimization. PSO was used by author for optimization design of reliability of mechanical parts and assemblies，and establishment of its mathematical model. In addition，inter-comparison between PSO and generic algorithm（GA）is taken. The results of experiments show that the optimal solution can be quickly and effectively reached with PSO，thus PSO is proven to be an effective method for optimization design of reliability of mechanical parts and assemblies.
Keywords Particle swarm optimization Mechanical parts and assemblies Reliability Optimization design