• DocumentCode
    632470
  • Title

    A discrete artificial bee colony algorithm for the team orienteering problem with time windows

  • Author

    Karabulut, Korhan ; Tasgetiren, M. Fatih

  • Author_Institution
    Software Eng. Dept., Yasar Univ., Izmir, Turkey
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    99
  • Lastpage
    106
  • Abstract
    This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate neighboring food sources in the framework of the DABC algorithm. In addition, a variable neighborhood descent (VND) algorithm is developed to enhance the solution quality. The performance of the algorithm was tested on a benchmark set from the literature. Experimental results show that the proposed DABC algorithm is competitive to the best performing algorithms from the literature. Ultimately, 11 instances are further improved by the proposed DABC algorithm.
  • Keywords
    computational complexity; optimisation; DABC algorithm; NP-hard problem; TOPTW; VND algorithm; construction procedure; destruction procedure; discrete artificial bee colony algorithm; neighboring food source generation; team orienteering problem with time windows; variable neighborhood descent algorithm; Algorithm design and analysis; Computational intelligence; Computers; Logistics; Optimization; Sociology; Statistics; artificial bee colony algorithm; heuristic optimization; iterated greedy algorithm; swarm intelligence; team orienteering problem with time windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence In Production And Logistics Systems (CIPLS), 2013 IEEE Workshop on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIPLS.2013.6595206
  • Filename
    6595206