Location Model of Logistics Network Radiant Center based on Improved Grey Wolf Algorithm
In order to improve the logistics distribution efficiency between different cities and enterprises and im-prove the current logistics development situation,on the basis of considering the distribution distance,the external in-fluence factor is introduced to improve the mean shift clustering algorithm to obtain the cluster set of existing logistics outlets.Then,based on the traditional gray wolf optimization algorithm(GWO),it is improved by combining the piecewise linear mapping(pwlcm)and the golden sine algorithm(gold SA),it effectively solves the problems of tra-ditional grey wolf optimization(GWO)algorithm,such as slow search speed,poor global search ability and easy to fall into local optimal solution.The experimental results show that the model not only has obvious advantages in conver-gence speed and iteration times,but also contains the actual information of the location area.It can solve the problem of the location of the radiation center of the logistics network,effectively shorten the average distance between the net-work and the radiation center,and help to save material resources and improve distribution efficiency.
Radial centerSite selectionClusteringGray wolf algorithmPWLCMGolden sine algorithm
NETL
NSTL
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