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  • 标题:A Survey on the Vehicle Routing Problem and Its Variants
  • 本地全文:下载
  • 作者:Suresh Nanda Kumar ; Ramasamy Panneerselvam
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2012
  • 卷号:4
  • 期号:3
  • 页码:66-74
  • DOI:10.4236/iim.2012.43010
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we have conducted a literature review on the recent developments and publications involving the vehicle routing problem and its variants, namely vehicle routing problem with time windows (VRPTW) and the capacitated vehicle routing problem (CVRP) and also their variants. The VRP is classified as an NP-hard problem. Hence, the use of exact optimization methods may be difficult to solve these problems in acceptable CPU times, when the problem involves real-world data sets that are very large. The vehicle routing problem comes under combinatorial problem. Hence, to get solutions in determining routes which are realistic and very close to the optimal solution, we use heuristics and meta-heuristics. In this paper we discuss the various exact methods and the heuristics and meta-heuristics used to solve the VRP and its variants.
  • 关键词:Vehicle Routing Problem; Exact Methods; Heuristics; Meta-heuristics; VRPTW; Optimization; Ant Colony Optimization; Genetic Algorithms
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