Research on Location Selection of Logistics Distribution Center Based on Improved Cuckoo Search Algorithm
In recent years,the logistics industry has continued to develop and grow.As a key node in the logistics system,distribution centers have very important strategic value in reducing logistics distribution costs and improving service response efficiency.In view of the pain points in the supply chain such as increased distribution costs and low inventory turnover due to multiple sources and points,this paper proposes an improved cuckoo search algorithm to solve the location selection problem of logistics distribution centers.This algorithm introduces the particle swarm optimization algorithm on the basis of the traditional cuckoo search algorithm,effectively combines the two to solve the problem,and adds adaptive parameters during the solving process to avoid local optimal phenomena and increase global search capabilities.Experiments show that compared with other heuristic algorithms,the improved cuckoo search search algorithm can effectively reduce logistics distribution costs,speed up the solution speed,and increase inventory turnover when solving distribution center location problems,providing a reference for corporate logistics budget plans.
improved cuckoo search algorithmlogistics distribution center locationadaptive parametersinventory turnover
NETL
NSTL
万方数据
