• DocumentCode
    650190
  • Title

    Fermicidae swarm system

  • Author

    Taengtang, Thammarat ; Sitthivet, Witthaya ; Paithoonwattanakij, Kitti

  • Author_Institution
    Dept. of Electron., King Mongkut´ of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2013
  • fDate
    7-8 Oct. 2013
  • Firstpage
    124
  • Lastpage
    126
  • Abstract
    Improved an ant colony by firefly algorithm, in this paper is proposed the method that is interwoven between ant colony optimization and firefly algorithm to increase efficiency of solving the traveling salesmen problem it is called that Fermicidae swarm system (FSS). It uses relationship between pheromone and distance which is attractiveness and absorption coefficient. This method is based on ant colony optimization which state transition rule of ant colony is improved by adding detection, which is a condition of distances. The performance of FSS is divided into two parts: the speed and tour length of a result. A speedy result of FSS is faster than ACS and tour length of FSS is near the best result.
  • Keywords
    ant colony optimisation; travelling salesman problems; FSS; Fermicidae swarm system; ant colony optimization; firefly algorithm; pheromone; travelling salesmen problem; ant colony system; firefly algorthm; particle swarm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on
  • Conference_Location
    Yogyakarta
  • Print_ISBN
    978-1-4799-0423-5
  • Type

    conf

  • DOI
    10.1109/ICITEED.2013.6676224
  • Filename
    6676224