Journal of Northeastern University ›› 2008, Vol. 29 ›› Issue (3): 316-319.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Variable neighborhood search for solving vehicle routing problems with backhauls and time windows

Liu, Shi-Xin (1); Liu, Ling (1); Zhang, Tao (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-03-15 Published:2013-06-22
  • Contact: Liu, S.-X.
  • About author:-
  • Supported by:
    -

Abstract: Based on the background of goods distribution in e-business environment, a model for solving the problems VRPBTW, i.e., the vehicle routing problems with backhauls and time windows, is developed, and it is analyzed to improve the VNS (variable neighborhood search) algorithm so as to solve the problems. Applying the modified sequential cheapest insertion heuristic proposed originally by Braysy to generating an initial solution for improvement, the algorithm introduces four different local search operators in accordance to VNS mechanism. The results of computational tests including 15 examples were compared with that by conventional VNS and showed that the modified VNS algorithm is effective for solving the problems and greatly outperforms the conventional one.

CLC Number: