Journal of Shanghai Jiaotong University

• Automation Technique, Computer Technology •     Next Articles

Improved Guided Local Searchbased Algorithm for Period Vehicle Routing Problem

JIANG Guishana,JIANG Zhibinb,LIU Shujunb
  

  1. (a. SinoUS Global Logistics Institute; b. School of Mechanical Engineering,
    Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2009-12-02 Revised:1900-01-01 Online:2010-09-28 Published:2010-09-28

Abstract: Based on the traditional static penalty strategy of the Guided Local Search algorithm (GLS), a dynamic penalty strategy was proposed. Then an improved GLS algorithm was developed to solve the period vehicle routing problem (PVRP). Standard instances of the PVRP were applied for computational tests. Comparison of static penalty and dynamic penalty strategies show that the improved GLS algorithm is efficient and effective for the PVRP.

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