关键词: 工艺路线, 多目标优化算法, 直觉模糊数, 元胞自动机, 强度Pareto进化算法

Abstract: To solve the process route decision making problems in the course of process planning,a novel integrated process route optimization method was proposed based on intuitionistic fuzzy number and multi-objective optimization algorithm which composed of cellular automata and Improved Strength Pareto Evolutionary Algorithm (SPEA2).The manufacturing features of parts were analyzed and sub-divided into machining units,which were able to be defined according to knowledge description.To deal with fuzzy sequence constraint relation between machining units efficiently,the intuitionistic fuzzy number design structure matrix was adopted to model machining sequence constraints between machining units.On this basis,the replacement cost of manufacturing equipment,tools and fixture was taken as optimization objectives to construct multi-objective optimization model for process route planning.To enhance problem-solving efficiency,the multi-objective optimization model was solved based on cellular automata and SPEA2,and several Pareto frontiers consisted of feasible process routes were acquired.Subsequently,the fuzzy entropy method was adopted to select the optimal process route.A case study of some equipment's transmission box machining process was offered to illustrate the practicability and validation of the proposed method.

Key words: process route, multi-objective optimization algorithm, intuitionistic fuzzy number, cellular automata, strength Pareto evolutionary algorithm