• DocumentCode
    239024
  • Title

    A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows

  • Author

    Liangjun Ke ; Huimin Guo ; Qingfu Zhang

  • Author_Institution
    State Key Lab. for Manuf. Syst. Eng., Xian Jiaotong Univ., Xian, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1878
  • Lastpage
    1882
  • Abstract
    The team orienteering problem with time windows (TOPTW) is a well studied routing problem. In this paper, a cooperative algorithm is proposed. It collaborates metaheuristic and branch-and-price. A restricted master problem and subproblem are defined. It uses a heuristic to obtain an integral solution for the restricted master problem and a metaheuristic to generate new columns for the subproblem. Experimental study shows that this algorithm can find new better solutions for several instances in short time, which supports the effectiveness of the cooperative mechanism between metaheuristic and branch-and-price.
  • Keywords
    computational complexity; tree searching; TOPTW; branch-and-price algorithm; cooperative approach; metaheuristic algorithm; restricted master problem; team orienteering problem with time windows; Approximation algorithms; Clustering algorithms; Europe; Heuristic algorithms; Integral equations; Operations research; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900447
  • Filename
    6900447