• DocumentCode
    637290
  • Title

    A hybrid biogeography based heuristic for the mirrored traveling tournament problem

  • Author

    Gupta, Deepika ; Goel, Lavika ; Aggarwal, Vaneet

  • Author_Institution
    Comput. Eng. Dept., Delhi Technol. Univ., New Delhi, India
  • fYear
    2013
  • fDate
    8-10 Aug. 2013
  • Firstpage
    325
  • Lastpage
    330
  • Abstract
    The Travelling Tournament Problem (TTP) is a NP-hard problem that abstracts the features of certain types of sports scheduling problems. Objective of TTP is to minimize the total distance travelled by all the teams in a sports league during the tournament. This work proposes a novel hybrid approach of Biogeography Based optimization (BBO) and Simulated Annealing (SA) heuristics to generate schedules for mirrored version of TTP. We evaluate our hybrid algorithm on publicly available standard benchmarks. Results are found to be competitive with existing techniques in literature while taking reasonable amount of time.
  • Keywords
    computational complexity; heuristic programming; scheduling; simulated annealing; sport; BBO heuristic; NP-hard problem; SA heuristic; TTP; biogeography based optimization; hybrid algorithm; hybrid biogeography based heuristic; mirrored traveling tournament problem; simulated annealing; sports league; sports scheduling problems; total distance minimization; Abstracts; Biogeography; Schedules; Simulated annealing; Sociology; Statistics; Biogeography Based Optimization; Simulated Annealing; Sports Scheduling; TTP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2013 Sixth International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-0190-6
  • Type

    conf

  • DOI
    10.1109/IC3.2013.6612213
  • Filename
    6612213