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《Mathematics in Practice and Theory》 2019-15
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Logistics Path Optimization Based on Improved Whale Optimization Algorithm

SHANG Meng;WAN Zhi-peng;CHAO Jun-wei;KANG Jian-ying;Anyang Institute of Technology School of Flight;Yeungnam University School of Business;College of Economics and Management, Hebei University of Economics and Business;  
Aiming at the problem that the vehicle routing of logistics distribution is difficult to optimize,which affects the efficiency and efficiency of logistics distribution system,a vehicle routing optimization method based on whale optimization algorithm is proposed.First,a mathematical model of logistics distribution system is established.Secondly,aiming at the problem that traditional whale optimization algorithm is easy to fall into local optimum,random inertia weight and non-uniform mutation strategy are used to improve the algorithm,and the validity of the proposed method is verified by the comparative test of test functions.Finally,through the improved whale optimization algorithm to optimize the logistics path experiment,the experimental results show that the proposed improved whale optimization algorithm can effectively optimize the logistics distribution vehicle route distribution path and reduce the logistics distribution cost.
【Fund】: 国家自然科学青年基金(61503002);; 国家留学基金(201708410230);; 河南省社科联、省经团联调研课题(SKL20183494);; 安阳工学院博士科研启动基金项目(BSJ2017008)
【CateGory Index】: F252;TP18
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