Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (8): 1775-1788.doi: 10.16182/j.issn1004731x.joss.21-0244

• Modeling Theory and Methodology • Previous Articles     Next Articles

Research on Time-dependent Vehicle Routing Problem with Multiple Time Windows

Nan Li1(), Rong Hu1(), Bin Qian1,2, Huaiping Jin1, Naikang Yu2   

  1. 1.School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
    2.School of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2021-03-23 Revised:2021-06-06 Online:2022-08-30 Published:2022-08-15
  • Contact: Rong Hu E-mail:2235750519@qq.com;ronghu@vip.163.com

Abstract:

Aiming at the time-dependent vehicle routing problem with multiple time windows (TD_VRPMTW) that considers urban traffic congestion, a hybrid discrete gray wolf optimizer (HDGWO) is proposed. In the HDGWO, a new grey wolf individual updating formula is designed, and the integer coding method based on customer permutation is adopted, so that the algorithm can directly perform the global search based on GWO individual updating mechanism in the discrete problem solution space.A population initialization strategy based on the nature of the problem is designed to generate the initial population with high quality and diversity.The information exchange formula of the head wolf is introduced to explore the high-quality solution space formed by the head wolf. An adaptive variable neighborhood local search strategy with multiple local search operators is constructed to enhance the local search ability of the algorithm. Results show that HDGWO can effectively solve TD_VRPMTW.

Key words: GWO, multiple time windows, vehicle routing problem, time-dependent, discrete, local search

CLC Number: