• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 5
Mar.  2010
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Article Contents
ZOU Shurong, HUANG Xiaobin, ZHANG Hongwei. Multi-Objective Genetic Algorithm for Solving Capacitated Vehicle Routing Problems[J]. Journal of Southwest Jiaotong University, 2009, 22(5): 782-786.
Citation: ZOU Shurong, HUANG Xiaobin, ZHANG Hongwei. Multi-Objective Genetic Algorithm for Solving Capacitated Vehicle Routing Problems[J]. Journal of Southwest Jiaotong University, 2009, 22(5): 782-786.

Multi-Objective Genetic Algorithm for Solving Capacitated Vehicle Routing Problems

  • Received Date: 05 Nov 2008
  • Publish Date: 12 Nov 2009
  • A multi-objective genetic algorithm based on Pareto approach was proposed for capacitated vehicle routing problems (CVRPs).In this algorithm,a new Pareto tournament selection operator based on arena’s principle is used to avoid the difficulty of solving non-convex problems;meanwhile,the nearest-neighbor algorithm and sweep algorithm are adopted to initialize population,and heuristic crossover operator is introduced to accelerate the convergence speed.The simulation result on the E-n30-k3 test specimen shows that the Pareto set obtained by this algorithm can provide manifold paths for decision makers to solve CVRPs.

     

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