• DocumentCode
    694809
  • Title

    A Hybrid Artificial Bee Colony Algorithm Combined with Simulated Annealing Algorithm for Traveling Salesman Problem

  • Author

    Pei Shi ; Suling Jia

  • Author_Institution
    Schcool of Econ. & Manage., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    740
  • Lastpage
    744
  • Abstract
    In order to solve travelling salesman problem (TSP), a hybrid artificial bee colony algorithm combined with simulated annealing algorithm (HABC-SA) is presented for TSP. This algorithm gives a discrete coding method for food source position. Crossover and mutation operators in genetic algorithm are introduced into the new algorithm to do local search, Simulated annealing idea is applied in this hybrid artificial bee colony algorithm to increase the diversity of food sources. The proposed algorithm is tested on benchmark problems, and results show that this algorithm can avoid pre-maturity and advance constringency for TSP.
  • Keywords
    ant colony optimisation; genetic algorithms; simulated annealing; travelling salesman problems; HABC-SA; TSP; artificial bee colony algorithm; crossover operators; discrete coding method; food source position; genetic algorithm; mutation operators; simulated annealing algorithm; traveling salesman problem; Algorithm design and analysis; Cities and towns; Encoding; Genetic algorithms; Particle swarm optimization; Simulated annealing; artificial bee colony algorithm (ABC); simulated annealing idea; travelling salesman problem (TSP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.13
  • Filename
    6973680