• DocumentCode
    2863665
  • Title

    Decomposition techniques for a loosely-coupled resource allocation problem

  • Author

    Plamondon, Pierrick ; Chaib-Draa, Brahim ; Benaskeur, Abder Rezak

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Laval Univ., Que., Canada
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Firstpage
    595
  • Lastpage
    598
  • Abstract
    We are interested by contributing to stochastic problems of which the main distinction is that some tasks may create other tasks. In particular, we present a first approach which represents the problem by an acyclic graph, and solves each node in a certain order so as to produce an optimal solution. Then, we detail a second algorithm, which solves each task separately, using the first approach, and where an on-line heuristic computes the global actions to execute when the state of a task changes.
  • Keywords
    graph theory; heuristic programming; multi-agent systems; resource allocation; stochastic processes; acyclic graph; decomposition techniques; loosely-coupled resource allocation problem; on-line heuristic; stochastic problems; Computer science; Decision support systems; Explosions; Research and development; Resource management; Software engineering; State-space methods; Stochastic processes; Stochastic systems; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2416-8
  • Type

    conf

  • DOI
    10.1109/IAT.2005.64
  • Filename
    1565608