摘要
粒子群算法(ParticleSwarmOptimization)是一种新出现的群智能(SwarmIntelligence)优化方法。本文所介绍将其应用于机械可靠性优化设计,建立基于粒子群算法的机械零部件可靠性优化设计的数学模型,并与遗传算法作了对比试验。结果表明,粒子群算法可以快速、有效求得优化解,是求解机械可靠性优化设计问题的一个较好方案。
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.
出处
《自动化仪表》
CAS
2005年第7期24-26,共3页
Process Automation Instrumentation
