| 基于QPSO的重载齿轮多目标优化设计 |
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| 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 |
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| 作者姓名： | 李盘荣 |
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| 作者单位： | 无锡市广播电视大学,江苏,无锡,214011 |
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| 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。
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| 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 |
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| LI Panrong. Multi-objective Optimization Design of the Heavy-duty Gear Drive Based on QPSO[J]. Modern Machinery, 2009, 0(5): 43-46 |
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| Authors: | LI Panrong |
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| 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. |
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| Keywords: | PSO （ particle swarm optimization ） QPSO （ quantum particle swarm optimization ） multi-objective optimization design heavy-duty gear |
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