• DocumentCode
    2027915
  • Title

    Firefly algorithm for path optimization in PCB holes drilling process

  • Author

    Ismail, M.M. ; Othman, M.A. ; Sulaiman, H.A. ; Misran, M.H. ; Ramlee, R.H. ; Abidin, A.F.Z. ; Nordin, N.A. ; Zakaria, M.I. ; Ayob, M.N. ; Yakop, F.

  • Author_Institution
    Centre for Telecommun. Res. & Innovation (CeTRi), Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
  • fYear
    2012
  • fDate
    7-8 July 2012
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    In PCB holes drilling process, the time taken for a task completion heavily rely on the distance travels by the drill bit of the CNC machine. In order to minimize the distance traveled by the drill bit, Firefly Algorithm can be used. The proposed model applies Firefly Algorithm to search for the optimized path in PCB holes drilling process. Each agent´s position represented a possible path that can be taken by the drill bit. The fitness of the agent is inversely proportional to the distance of the path where the shorter the distance, the better the fitness of an agent. Then, the agents compare their fitness with each other. Agent will try to improve its fitness by moving closer towards other agent with better fitness. The process repeated until maximum iteration achieved. Performance of the proposed model is compared with other literatures using a standard case study.
  • Keywords
    computerised numerical control; drilling; drilling machines; optimisation; printed circuits; CNC machine; PCB holes drilling process; distance travels; drill bit; firefly algorithm; optimized path; path distance; path optimization; task completion; Computational modeling; Computer numerical control; Convergence; Drilling machines; Mathematical model; Optimization; Particle swarm optimization; Computational Intelligence; Firefly Algorithm; Path Optimization; Printed Circuit Board;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green and Ubiquitous Technology (GUT), 2012 International Conference on
  • Conference_Location
    Jakarta
  • Print_ISBN
    978-1-4577-2172-4
  • Type

    conf

  • DOI
    10.1109/GUT.2012.6344160
  • Filename
    6344160