Research on Multi-Distribution Center Location Based on Fruit Fly – Immune Algorithm

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Abstract:

The article combines Fruit Fly optimization algorithm with Immune Optimization Algorithm into Fruit Fly-Immune algorithm to solve the multi-distribution center location problem with a NP-hard nature. Using MATLAB simulation technology and comparing to the simulation results of traditional Immune Optimization Algorithm shows that the use of Fruit Fly-Immune algorithm to solve multi-distribution center location problem can get better convergence results and weaken faster.

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338-342

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March 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Cai Zixing, Gong Tao. Progress Immunization algorithm [J]. Control and Decision, 2004, 08): 841-6.

Google Scholar

[2] Wu Xiaowen, Li Qing. Research performance optimization algorithms and five populations of Drosophila intelligent algorithm [J]. Firepower and command and control, 2013, 38(4): 17-20.

Google Scholar

[3] Wen-Tsao Pan. A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example. [J]. Knowl. -Based Syst., 2012, 26.

DOI: 10.1016/j.knosys.2011.07.001

Google Scholar

[4] Zhoumei Fang, Ye Hongtao. Siting based on immune algorithm logistics distribution center [J]. Guangxi University of Technology, 2012, 03): 77-9+85.

Google Scholar