Title :
Improved graph clustering algorithm for logistics company alliance building problem
Author :
Li Ding ; Laisheng Xiang ; Xiyu Liu ; Chaochao Song
Author_Institution :
Inst. of Manage. Sci. & Eng., Shandong Normal Univ., Jinan, China
Abstract :
Logistics company alliance building problem studies that how to build alliance with a method of great rate and low cost. It presents an improved algorithm about graph clustering base on PSO to solve the problem. Optimize the clustering result through PSO, and expand the solution space through disturbance strategies in order to obtain the optimal solution. Experimental result shows that the algorithm can solve the problem in a high rate and low cost.
Keywords :
graph theory; logistics; particle swarm optimisation; PSO; disturbance strategies; improved graph clustering algorithm; logistics company alliance building problem; particle swarm optimization; Complexity theory; Company alliance; Discretization; Disturbance strategies; Graph clustering; PSO; The fourth party logistics;
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location :
Hokodate, Hokkaido
Print_ISBN :
978-1-4673-2109-9
DOI :
10.1109/ITiME.2012.6291465