• DocumentCode
    1814782
  • Title

    Proposed methodology for comparing schedule generation schemes in construction resource scheduling

  • Author

    Kim, Jin-Lee

  • Author_Institution
    Dept. of Civil Eng. & Constr. Eng. Manage., California State Univ., Long Beach, Long Beach, CA, USA
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    2745
  • Lastpage
    2750
  • Abstract
    This paper proposes a methodology to compare the serial scheme with the parallel scheme in a decoding procedure of permutation-based genetic algorithm for construction resource scheduling. Elitist genetic algorithm based on the serial scheme, which was previously developed by the author, is used as a platform to integrate the parallel scheme. Since two schedule generation schemes have different mechanisms, it is meaningful to demonstrate the effects of the scheme on the performance of an algorithm. The ultimate goal of this study is to address the issue with regard to which of the schedule generation schemes will perform better for an arbitrary instance of resource scheduling problems. Thirty problems are solved here to compare their project durations according to the scheme. Scheduling results indicate that Elitist genetic algorithm using the serial scheme provides better solutions than the one using the parallel scheme.
  • Keywords
    construction industry; genetic algorithms; project management; scheduling; construction resource scheduling; decoding procedure; elitist genetic algorithm; parallel scheme; permutation-based genetic algorithm; project durations; resource scheduling problems; schedule generation schemes; serial scheme; Civil engineering; Decoding; Dictionaries; Genetic algorithms; Optimal scheduling; Processor scheduling; Project management; Research and development management; Scheduling algorithm; Software packages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2009 Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5770-0
  • Type

    conf

  • DOI
    10.1109/WSC.2009.5429252
  • Filename
    5429252