遗传算法, 箱体零件, 工艺路线, 排序优化

An optimization model was built for the process sequencing of housing parts by taking the total machining time as the optimization objective. In this model, the machining center was assumed to has multiple clamping and each part feature has multiple processing methods, and the feature constraint matrix and the processing priority factor were introduced to ensure the reasonable constraints in the processes. The methods of generating the initial population, the selection, crossover and mutation of the chromosome were designed, and then the processing program was selected and sorted by using the genetic algorithm. Finally, sample parts were selected and tested,and the experiments show that this method can improve the process sequencing optimization ability effectively.