基于改进遗传算法零件加工工序优化研究

针对复杂零件加工特征多、加工工艺多样等问题，提出一种基于改进遗传算法的零件加工工序优化方法。该方法利用三维工步矩阵实现制造信息存储和表达，建立工步约束矩阵作为约束条件，以花费成本最低作为目标建立加工工序优化的数学模型；对基因进行分层编码，针对不同的决策层选择对应的交叉、变异算子，引入选择层编码实现加工车间加工方式和制造资源的动态决策；以箱体零件为例进行验证。结果表明：改进后的遗传算法提高了种群质量，加快了算法收敛的速度，得到了符合工序约束的加工序列，验证了改进方法的有效性。

Research on Operation Sequence Optimization Based on Improved Genetic Algorithm

Aiming at the problems of complex components with many processing features and various processing techniques, a method for optimizing operation sequence based on improved genetic algorithm was proposed. In the method, a three-dimensional process matrix was used to store and express the manufacturing information, a process constraint matrix was established as a constraint condition, and a mathematical model of operation sequence optimization was established with the lowest cost as the goal; then the genes were coded hierarchically, the corresponding crossover and mutation operators were selected for different decision-making levels, and the selection level coding was introduced to realize the dynamic decision-making of processing methods and manufacturing resources in the processing workshop; the box parts were used as an example to verify. The results show that by using the improved genetic algorithm, the population quality is improved, the convergence speed of the algorithm is accelerated, and a processing sequence is obtained that meets the process constraints, which verifies the effectiveness of the improved method.