Research of Multi-distribution Center Location Problem Based On Fruit Fly-Immune Hybrid Optimization Algorithm

For the multi-distribution center location problem with NP-hard characteristic nature, this paper combines the immune algorithm and the fruit fly optimization algorithm into the fruit fly-immune hybrid optimization algorithm.Compared the MATLAB simulation results of traditional immune optimization algorithm and fruit fly-immune hybrid optimization algorithm”s, multiple distribution center location problem could be converged quickly to the global optimal solution.The fruit fly-immune hybrid optimization algorithm optimizes the location model and offers a new way to solve the multi-distribution center location problem.
multi-distribution center location fruit fly-immune hybrid optimization algorithm MATLAB global optimal solution
LIU Yong SUN Jingjie WANG Xuan
School of Management, Northwestern Polytechnical University, Xi”an 710129,China
国内会议
杭州
英文
131-137
2014-10-25(万方平台首次上网日期,不代表论文的发表时间)