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  • 标题:Adapting Egyptian Vulture Optimization Algorithm for Vehicle Routing Problem
  • 本地全文:下载
  • 作者:Dilip Kumar ; M. Nandhini
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:3
  • 页码:1199-1204
  • 出版社:TechScience Publications
  • 摘要:Vehicle Routing problem (VRP) is thechallenging and sophisticated optimization problem which canbe solved by various approaches like Exact methods, metaheuristicoptimization algorithm and Mathematicalapproaches including linear and integer programmingTechniques. Exact algorithms can only solve relatively smallproblems of VRP. Several approximate algorithms haveproven successfully to finding a feasible solution but notnecessarily an optimum. In this paper, survey on variousmethods for solving VRP, variants of VRP, definition of VRPand the proposal for adapting Egyptian Vulture OptimizationAlgorithm for VRP are discussed.
  • 关键词:Vehicle Routing problem; Depot; Egyptian;Vulture Optimization Algorithm; Combinatorial Optimization.
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