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介绍了基因遗传算法及型式原理，提出了用基因遗传算法解决切削用量的复杂的多变量、多目标优化问题的方法，找到了一个抽象出切削用量优化问题的共性，并辅之以个性接口的遗传算法，使本算法能适应不同的加工环境、加工方法。研究在明，基因遗传算法适于解决多变量、多目标的约束优化问题，其优越性体现在执行效率大大提高，有效避免局部最优解以及较强的适应性。
The genetic algorithm and the type principle are introduced. The method of solving the multivariable and multi-objective optimization problems of complex multivariable cutting quantities by genetic genetic algorithm is proposed. An abstract method is given to find out the commonality of the cutting optimization problem, which is supported by the personality interface Genetic algorithm, so that the algorithm can adapt to different processing environments, processing methods. In the study, genetic genetic algorithm is suitable to solve the multivariable and multi-objective constrained optimization problems, its superiority is greatly enhanced in the implementation efficiency, effectively avoiding the local optimal solution and strong adaptability.