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粒子群算法在重载齿轮多目标设计中的应用 被引量:3

Application of PSO Algorithm to Multi-objective Design of Heavy-duty Gear
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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
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