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  • 标题:Solution of Time Constrained Vehicle Routing Problems using Multi-Objective Hybrid Genetic Algorithm
  • 本地全文:下载
  • 作者:Bhawna Minocha ; Saswati Tripathi
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:6
  • 页码:2671-2676
  • 出版社:TechScience Publications
  • 摘要:Vehicle Routing Problem with Time windows (VRPTW) is an example of scheduling in constrained environment. It is a well known NP hard combinatorial scheduling optimization problem in which minimum number of routes have to be determined to serve all the customers within their specified time windows. So far different analytic and heuristic approaches have been tried to solve such problems. In this paper we proposed an algorithm which incorporates a new local search technique with genetic algorithm approach to solve time constrained vehicle routing and scheduling problems in various scenarios.
  • 关键词:Vehicle routing problem; genetic algorithm;heuristics based search techniquess
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