摘要
粒子群优化算法是一种基于群智能的优化方法,规则简单,收敛速度快。将此算法应用于重载齿轮的多目标优化设计,建立基于粒子群优化算法的重载齿轮多目标优化设计的数学模型,实践表明可以快速、有效地求得齿轮优化解。
Particle Swarm Optimization (PSO) is a new method for Swarm Intelligence optimization, with simple rules and efficacy. The essay introduces PSO to the multi-objective optimal design of the heavy-duty gear transmission, and establishes its mathematical model based multi-objective optimal design on PSO. The results of experiments prove PSO to be a more effective and faster method for of the heavy-duty gear transmission.
出处
《洛阳理工学院学报(自然科学版)》
2009年第2期35-38,共4页
Journal of Luoyang Institute of Science and Technology:Natural Science Edition
关键词
粒子群算法
多目标优化设计
重载齿轮
PSO algorithm
Multi-objective optimization design
Heavy-duty gear