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在传统遗传算法的基础上提出变搜索域遗传算法，通过不断地变换搜索区域，使搜索区域向全局最优点缩小推进，从而提高算法的收敛速度和精度。将其用于铣削加工参数的优化，并与传统算法进行比较。
Based on the traditional genetic algorithm, a variable-search-area genetic algorithm is proposed. By continuously transforming the search area, the search area can be narrowed down to the global optimum point, so as to improve the convergence speed and accuracy of the algorithm. It is used to optimize milling parameters and to compare with traditional algorithms.