| 基于QPSO的二级齿轮减速器的优化设计 |
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| 作者姓名： | 周凌 |
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| 作者单位： | 无锡商业职业技术学院,江苏无锡,214163 |
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| 摘 要： | 基于量子粒子群算法理论,对二级齿轮减速器进行优化设计,并利用MATLAB软件对量子粒子群算法程序进行了设计验证。从实验结果来看,运用量子粒子群算法很好地实现了减小齿轮中心距的要求,收敛速度快,得到的结果令人较为满意。
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| 关 键 词： | 量子粒子群算法 二级齿轮减速器 优化设计 |
The optimization design of level 2 gear reducer Based on QPSO |
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| Authors: | ZHOU Ling |
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| Abstract: | Quantum particle swarm algorithm is a kind of intelligent optimization method based on birds, operation rules are simple, fast convergence rate,less variable, easy to the programming. To level 2 gear reducer optimization design, this article puts forward a quantum particle swarm algorithm is based on the design method. And the method of use of MATLAB software quantum particle swarm algorithm procedures, the use of MATLAB quantum particle swarm algorithm based on the level 2 gear reducer optimization algorithm is given. |
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| Keywords: | Quantum particle swarm algorithm level 2 gear reducer optimization design |
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