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基于遗传算法和差分进化的高速冲床运动学优化
引用本文:孙夕阳,王栓虎.基于遗传算法和差分进化的高速冲床运动学优化[J].华南农业大学学报(社会科学版),2014,32(1).
作者姓名:孙夕阳  王栓虎
摘    要:提出一种可以实现自身动平衡的高速冲床的新型传动机构。针对优化算法的缺陷,提出一种遗传算法与差分进化相结合的混合算法,并阐述了该算法的流程。将该机构简化,进而建立其优化模型。利用混合算法对其进行优化,得出优化前后冲压滑块的运动学特性比较图。结果表明,优化后的结构在高速冲压时具有更好的输出运动特性,表明该算法是一种非常切实有效的优化算法。

关 键 词:高速冲床  运动学  优化设计  遗传算法—差分进化

Kinematic Optimization of High Speed Press Based on Genetic Algorithm and Differential Evolution
SUN Xiyang,WANG Shuanhu.Kinematic Optimization of High Speed Press Based on Genetic Algorithm and Differential Evolution[J].Journal of South China Agricultural University:Social Science Edition,2014,32(1).
Authors:SUN Xiyang  WANG Shuanhu
Abstract:The novel transmission mechanism of high speed press which ensures inertial balance was proposed. For the deficiency of optimum algorithm, a hybrid algorithm combining genetic algorithm with differential evolution was presented and its scheme was stated. Then the mechanism was simplified and optimization model was established. A comparative study for kinematics was made between original and optimized dimensions by the GA DE algorithm. As the result shown, the optimized mechanism is of better output motion for high speed punching, which indicates the algorithm is highly effective.
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