制造资源, 用户需求, 模糊聚类, 遗传算法

After analyzing customer demands and the grey relation degree of manufacturing resources, a fuzzy similarity matrix and fuzzy cluster tree were constructed. An optimization model of resource clustering evaluated by internal genus degree, external detached degree and satisfaction degree of customer demands was proposed, which was based on fuzzy clustering tree.Then, genetic algorithm was applied to optimize the clustering results. To prevent the premature convergence problem and improve the optimization capability, the adaptive crossover and mutation probabilities method and elitist selection were employed. The simulation results indicate the effectiveness of the proposed new algorithm.