中国机械工程 ›› 2015, Vol. 26 ›› Issue (24): 3307-3311,3317.

• 机械基础工程 • 上一篇    下一篇

一种改进遗传算法在离合器参数优化中的应用

徐立友;李晴;周志立   

  1. 河南科技大学,洛阳,471003
  • 出版日期:2015-12-25 发布日期:2015-12-17
  • 基金资助:
    国家自然科学基金资助项目(51375145);河南省重点科技攻关计划资助项目(142102210424);河南省基础与前沿技术研究项目(152300410080)

An Improved Genetic  Algorithm and Its Applications  in Clutch Parameter Optimization

Xu Liyou; Li Qing; Zhou Zhili   

  1. Henan  University  of Science  and  Technology,Luoyang,Henan,471003
  • Online:2015-12-25 Published:2015-12-17

摘要:

针对离合器摩擦片参数优化过程中多目标、多参数、多约束的特点,提出了一种改进遗传算法。采用层次分析法对分目标函数的权重系数进行了初始分配,引入参数间组合度系数和参数的敏感度系数,将组合度系数用于交叉变异中,将敏感度系数用于权重系数动态调整中。以东方红-LA3004拖拉机换挡离合器为优化算例,分别基于传统遗传算法和改进遗传算法对离合器参数进行了优化,将两种优化结果进行了对比分析,结果表明,改进遗传算法能在得到全局最优解的同时,提高优化效率。

关键词: 改进遗传算法, 层次分析法, 离合器, 参数优化

Abstract:

For the clutch plate parameter optimization process of multi-objective, multi-parameter and multi-constraint features, an improved genetic algorithm was put forward.Based on  AHP,the part objective function weight coefficients  were allocated initially,combination coefficients among  parameters and sensitivity coefficients  were introduced in this algorithm,combination coefficients  were used in crossover and mutation, sensitivity coefficients were  used in the dynamic adjustment of weight coefficients.Taking Dongfanghong-LA3004 tractor shifting clutch for the optimization example, based on the traditional genetic algorithm and the proposed improved genetic algorithm respectively, the clutch parameters were optimized, and the optimization results were compared with the original plan, the result analyses  show that the proposed improved genetic algorithm can get the global optimal solution, at the same time, improves the efficiency of optimization.

Key words: improved genetic algorithm;analytic , hierarchy , process(AHP);clutch;parameter , optimization

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