Immune Optimization Algorithm for Distribution Centers allocation problem

摘要：

This paper introduced an adaptive immune optimization algorithm for allocation optimization of distribution centers. With the characteristics and demands of allocations of distribution centers, a mathematics model has been made on DC allocations problems on the basis of the optimization of the total transport costs and time among customers and their serving centers. An adaptiveimmune optimization algorithm(IOA) based on improved crossover and mutation operator was proposed to solve the problem. The simulation results show that the adaptiveIOA is better than the standard GA(SGA) in search efficiency and equality.

关键词： immune algorithm distribution center allocation problem evolutionary computation

作者: Kongyu Yang Binbin Gao

作者单位: School of Information ManagementBeijing Information Science & Technology University,Beijing, China School of Information Management Beijing Information Science & Technology University, Beijing, China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）