• DocumentCode
    3191684
  • Title

    An Ant Colony System for Solving Resource Leveling Problem

  • Author

    Li, Zhou ; Wuliang, Peng ; Zhongliang, Zhang

  • Author_Institution
    Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    489
  • Lastpage
    492
  • Abstract
    To solve the resource constrained resource leveling problem(RLP), an algorithm based on ant colony system was developed. According to the characteristics of RLP and ant colony system, the solution construct diagram based permutation encoding was designed. The serial schedule generation scheme for RLP was developed to generate project plan from the permutation encoding. The ant colony system was employed to find the permutation encoding to generate the optimal project plan by serial generation schedule. The algorithm was coded in Java language, and a full factorial computational experiment was set up using the well-known standard instances in PSPLIB, the results reveal that the algorithm is effective for the RLP.
  • Keywords
    optimisation; project management; scheduling; statistical analysis; Java language; ant colony system; optimal project plan; permutation encoding; resource constrained problem; resource leveling problem; serial generation schedule; Automation; Availability; Code standards; Costs; Encoding; Java; Mechanical engineering; Processor scheduling; Production; Scheduling algorithm; ant colony system; project scheduling; resource leveling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.694
  • Filename
    5522690