• DocumentCode
    1782921
  • Title

    Max-Min Ant System to solve the software project scheduling problem

  • Author

    Crawford, Broderick ; Soto, R. ; Johnson, Francis ; Paredes, Ferran ; Olivares Suarez, Miguel

  • Author_Institution
    Pontificia Univ. Catolica de Valparaiso, Valparaiso, Chile
  • fYear
    2014
  • fDate
    18-21 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Software Project Scheduling Problem is a special case of project scheduling problems. This problem consists in assigning workers with different skills, to a series of tasks in a software project so that the project is completed in the shortest time and the lowest cost possible. In addition, this allocation must meet the constraints of skill required for each task and the precedence constraints between tasks. The solution to this problem is presented using the Max - Min Ant System algorithm and the Hypercube framework. Two heuristics capable of guiding the algorithm to find better solutions are proposed. Experimental results are presented and compared with other techniques of resolution, showing an improvement by implementing our proposal.
  • Keywords
    ant colony optimisation; hypercube networks; minimax techniques; project management; scheduling; software management; hypercube framework; max-min ant system; precedence constraints; skill constraints; software project scheduling problem; Abstracts; Ant colony optimization; Computers; Hypercubes; Silicon; Software; Software algorithms; Hypercube; Max-Min Ant System; Metaheuristics; Software Project Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/CISTI.2014.6877091
  • Filename
    6877091