关键词: 区域企业集群, 板材资源, 抗体基因, 免疫算法, 订单匹配

Abstract: In the area of regional enterprise cluster, the reasons for the great variety kinds of plate, dispersion of distributed and lack of cooperation among enterprises, always lead to various problems, such as the retention of the internal resources, the lack of sharing, the shortage of raw materials in the processing season. IA-PSO immune optimization algorithm is proposed to reduce the cost and delivery time of user’s order and an improved multi-objective immune optimization algorithm is proposed to find a better and more feasible allocation model. By comparing the fitness function solution with the budget cost of the order, the antibody group is divided into the dominant and non-dominant solutions. The affinity evaluation function of the antibody antigen is used to improve the selection probability of the optimal solution, and the order distribution enterprise number is used as the antibody gene of the immune system, so as to select the optimal solution that converges to the global. Finally, it is proved that the IA-PSO algorithm can effectively solve the multi-objective resource scheduling problem in panel clusters.

Key words: regional enterprise cluster, variety kinds of plate, gene of antibody, immune optimization algorithm, allocation model