Location Selection of Multiple Logistics Distribution Center Based on Particle Swarm Optimization
Distribution center is an important pivot position at the logistics system. This paper presents the site selection’s model of logistics distribution center based on decision matrix C, which adopts particle swarm optimization (PSO) to find the best combination of site selection by structuring the iteration of decision matrix. At the same time, simulation experiments are conducting for the site selection of logistics distribution center with 4 candidate centers and 10 distribution points, and the results show that PSO can get the best solution of distribution center in 90 % success rate of the best solution and the average research time of the approximate 3.5 s. From simulation experiment, PSO is efficient, accurate and suitable for the model optimization of distribution center, and therefore, it can be regarded as an effective method for the site selection’s model of logistics distribution.
KeywordsLogistics Distribution center Particle swarm optimization
This work is supported by the National Natural Science Foundation of China (Grants nos. 71461027, 71471158). Guizhou science and technology cooperation plan (Qian Ke He LH zi 7028, Qian Ke He LH zi 7050, 7005, Qian Ke He J zi LKZS 30). Science and technology talent training object of Guizhou province outstanding youth (Qian ke he ren zi 06). Guizhou province natural science foundation in China (Qian Jiao He KY 295); 2013, 2014 and 2015 Zunyi 15851 talents elite project funding; Zhunyi innovative talent team (Zunyi KH (2015) 38); Project of teaching quality and teaching reform of higher education in Guizhou Province (Qian Jiao gaofa 446, 337), College students’ innovative entrepreneurial training plan (201410664004, 201510664016).
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