An Improved Ant Colony Algorithm for the Location of Logistics Center

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Abstract:

Logistics center selection is a traditional problem which many scholars study. But it has no solution because of complexity of the problem. The selection of the correct towns as logistics center is very difficult, particularly when the number of the towns is very large. This paper presents the ant colony algorithm for the selection of logistics center, and selects the logistics center by the pheromone. Firstly, we present a mathematical model, and then test the feasible of the ant colony algorithm by simulation. The result shows that the ant colony algorithm is feasible for logistics center selections

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887-890

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October 2012

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[1] Xiaojiang Li. Ant Colony Algorithm for Large Scale TSP[C]. ICECE (2011)

Google Scholar

[2] Sun Li-juan, Wang Liang-jun, Wang Ru-chuan. Research of using an proved ant colony algorithm to solve TSP [J] . Jorunal of china institute of communications Vol.25 No.10

Google Scholar

[3] HOU Yun-he. Wu Yao-wu. Power System Technology 2008 Vol. 28 No. 21

Google Scholar

[4] Chen Changfu. Gong Xiaonan. Heuristic ant colony algorithm involving Chaos operator and its application to search for critical slip surface of slope[J], Chinese journal of rock mechanics and engineering. 2004,23(20):3450-3453

Google Scholar

[5] T. Meyer, A.T. Ernst, M.Krishnamoorthy. A 2-phase algorithm for solving the single allocation p-hub center problem[J]. Computers & Operations Research 36 (2009) 3143 – 3151

DOI: 10.1016/j.cor.2008.07.011

Google Scholar

[6] Bahar Y. Kara , Barbaros Cß. Tansel. On the single-assignment p-hub center problem [J]. European Journal of Operational Research 125 (2000) 648-655

DOI: 10.1016/s0377-2217(99)00274-x

Google Scholar

[7] Hong Xiao   Methods to Determine Logistics Distribution Center Location[C]. MASS2011

Google Scholar

[8] Yuan-Kuei Huang;Wei-Jun Lu;Jun-Der Leu. A logistics execution method for the regional distribution center[C]. IEEM2011

Google Scholar

[9] JULIE CIDELL, Distribution Centers among the Rooftops: The Global Logistics Network Meets the Suburban Spatial Imaginary[J], International Journal of Urban and Regional Research, Volume 35.4 July 2011 832–51

DOI: 10.1111/j.1468-2427.2010.00973.x

Google Scholar

[10] Jiajia He, Zaien Hou. Ant colony algorithm for traffic signal timing optimization[J]. Advances in Engineering Software 43 (2012) 14-18

DOI: 10.1016/j.advengsoft.2011.09.002

Google Scholar