首页    期刊浏览 2025年06月29日 星期日
登录注册

文章基本信息

  • 标题:Efficient Heuristic Algorithms for Location of Charging Stations in Electric Vehicle Routing Problems
  • 本地全文:下载
  • 作者:Gustavo GATICA ; Gerardo AHUMADA ; John Willmer ESCOBAR
  • 期刊名称:Studies in Informatics and Control Journal
  • 印刷版ISSN:1220-1766
  • 出版年度:2018
  • 卷号:27
  • 期号:1
  • 页码:73-82
  • DOI:10.24846/v27i1y201808
  • 出版社:National Institute for R&D in Informatics
  • 摘要:Eco-responsible transportation contributes at making a difference for companies devoted to product delivery operations. Two specific problems related to operations are the location of charging stations and the routing of electric vehicles. The first one involves locating new facilities on potential sites to minimise an objective function related to fixed and operational opening costs. The other one, electric vehicle routing problem, involves the consolidation of an electric-type fleet in order to meet a particular demand and some guidelines to optimise costs. It is determined by the distance travelled, considering the limited autonomy of the fleet, and can be restored by recharging its battery. The literature provides several solutions for locating and routing problems and contemplates restrictions that are closer to reality. However, there is an evident lack of techniques that addresses both issues simultaneously. The present article offers four solution strategies for the location of charging stations and a heuristic solution for fleet routing. The best results were obtained by applying the location strategy at the site of the client (relaxation of the VRP) to address the routing problem, but it must be considered that there are no displacements towards the recharges. Of all the other three proposals, K-means showed the best performance when locating the charging stations at the centroid of the cluster.
  • 关键词:Heuristics; VRP; Electric vehicle; K-means.
国家哲学社会科学文献中心版权所有