微型电脑应用2025，Vol.41Issue(4)：271-274,282,5.
基于自学习蝗虫算法的多回程电力物资配送中心选址方法
A Multi-return Power Material Distribution Center Site Selection Method Based on Self-learning Locust Algorithm
王忠军 1麦国阳 1许伟南 1杨秀才1
作者信息
- 1. 南方电网数字平台科技(广东)有限公司,广东,深圳 518100
- 折叠
摘要
Abstract
Aimed at the site selection of multi-return power material distribution center,this paper proposes a site selection method based on self-learning locust algorithm.Starting from the overall organizational hierarchy and function of the multi-re-turn power material distribution center,this paper analyzes the functional hierarchy structure of the distribution center,takes the distribution time delay loss cost,power material transportation cost,power material storage cost as the important influen-cing elements to construct a simplified mathematical model of the multi-return power material distribution center site selection.This paper constructs the objective function with the goal of minimizing the cost of the power material distribution,and sets up corresponding constraints.Based on the locust optimization algorithm,this paper calculates the locust individual fitness,solves the optimal locust individual location,uses the pairwise self-learning strategy as the optimization algorithm to solve the globally optimal locust individual location,and outputs the target of multi-return power material distribution center location selection.The experimental results show that the proposed method can be used to effectively determine the multi-return power material distribution path and the multi-return distribution relationship between the distribution center and the demand point.In addi-tion,the cost of site selection is 14 103 yuan,the calculation time of site selection is 0.842 s,and the convergence effect of op-timization iteration is better,which effectively realizes the high accuracy and high efficiency of multi-return power material dis-tribution center site selection.关键词
电力物资/配送中心选址/多回程配送/蝗虫优化算法/配对自学习Key words
power material/distribution center site location/multi-return distribution/locust optimization algorithm/pairwise self-learning分类
信息技术与安全科学引用本文复制引用
王忠军,麦国阳,许伟南,杨秀才..基于自学习蝗虫算法的多回程电力物资配送中心选址方法[J].微型电脑应用,2025,41(4):271-274,282,5.
