微型电脑应用2025，Vol.41Issue(3)：196-199,4.
基于灰狼优化算法的应急物资供应点选择方法
Selection Method of Emergency Material Supply Point Based on Grey Wolf Optimization Algorithm
吴跃 1张静鑫 2焦飞2
作者信息
- 1. 国网安徽省电力有限公司信息通信分公司,安徽,合肥 230022
- 2. 安徽明生恒卓科技有限公司,安徽,合肥 230031
- 折叠
摘要
Abstract
Natural disasters and emergencies can cause huge losses to the social economy,and emergency supplies are necessary for the rescue of emergencies.The transportation of emergency materials is the core issue of emergency logistics.Thus,this paper applies the grey wolf optimization algorithm to design a new method for selecting emergency material supply point.This paper classifies the gray wolf population and clarifies the process of emergency material allocation,constructs an objective func-tion for selecting emergency material supply point with the goal of minimizing supply time and supply cost.Based on the com-prehensive analysis of nonlinear transition parameters,the supply cost and supply time of emergency material supply point are analyzed,the similarity degree is solved,and the similarity degree is arranged from highest to lowest to select the optimal sup-ply point for emergency material.The experimental results show that the proposed method has good robustness,can effectively improve the convergence accuracy and speed,and has a high fitness when supplying.关键词
灰狼优化算法/应急物资/供应点选择/最短供应时间/供应成本Key words
grey wolf optimization algorithm/emergency material/selection of supply point/minimum supply time/supply cost分类
信息技术与安全科学引用本文复制引用
吴跃,张静鑫,焦飞..基于灰狼优化算法的应急物资供应点选择方法[J].微型电脑应用,2025,41(3):196-199,4.
