遗传算法在齿轮减速机优化设计中的应用

The Genetic Algorithm Applied to the Optimum Design for Gear Reducer

从理论上探讨了基因遗传算法 (GA)与传统约束优化设计方法相结合的可能性 ,并从中发现“基因遗传算法+惩罚函数法”非常适合求解复杂的非线性约束优化问题 ,且成功地采用了“基因遗传算法 +惩罚函数法”对一个通用的二级斜齿圆柱齿轮减速机的概率可靠性优化设计的数学模型进行求解 ,与传统的优化方法相比 ,得到了一个较为理想的全域最优解 ;

This paper theoretically discusses the possibility of combining genetic algorithm (GA) with sequence unconstrained minimization technology. The study shows this combining method is the best fit for solving complex nonlinear constraint optimum problems. As a example, it successfully realizes a calculation of the probability & reliability optimum design for a two-grade general helical cylindrical gear reducer. Compared with the traditional optimum methods, it can obtain an ideal global optimum result and improves GA's limitation.