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基于QPSO的重载齿轮多目标优化设计
引用本文:李盘荣. 基于QPSO的重载齿轮多目标优化设计[J]. 现代机械, 2009, 0(5): 43-46
作者姓名:李盘荣
作者单位:无锡市广播电视大学,江苏,无锡,214011
摘    要:粒子群优化算法(PSO)是一种基于群智能的优化方法,量子粒子群优化算法(QPSO)是基于PSO进行改进的算法,规则简单、收敛速度快、易于编程实现。对于多目标、多约束条件的重载齿轮的优化设计,本文提出了一种基于QPSO优化求解的设计方法;实践表明能够快速、有效求得优化解,是求解重载齿轮优化设计问题的一个较好方案。

关 键 词:粒子群优化算法  量子粒子群优化算法  多目标  优化设计  重载齿轮

Multi-objective Optimization Design of the Heavy-duty Gear Drive Based on QPSO
LI Panrong. Multi-objective Optimization Design of the Heavy-duty Gear Drive Based on QPSO[J]. Modern Machinery, 2009, 0(5): 43-46
Authors:LI Panrong
Abstract:PSO(Particle Swarm Optimization) is a optimization algorithm for swarm intelligence optimization. QPSO (Quantum Particle Swarm Optimization ) is a evolutionary algorithm based on PSO. Compared with other evolutionary algorithm, its converges is more quickly and its roles are simpler ,also the programming is easier. In this paper , QPSO is developed to optimize the multi-objective optimization design of the heavy-duty gear. The results of experiments show that the optimal solution can be quickly and effectively reached with QPSO. Thus QPSO is proved to be an effective method for multi-objective Optimization design of the Heavy-duty Gear.
Keywords:PSO ( particle swarm optimization )  QPSO ( quantum particle swarm optimization )  multi-objective  optimization design  heavy-duty gear
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