• DocumentCode
    1682143
  • Title

    An Agent Simulation Heuristics for Snowplowing Problems

  • Author

    Takahashi, Satoshi ; Matsuo, Tokuro

  • Author_Institution
    Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2011
  • Firstpage
    159
  • Lastpage
    161
  • Abstract
    This paper proposes a heuristics method for huge task allocation problem over snowblower tasks. It is difficult to solve the huge task allocation problem. A snowblower problem includes a task allocation problem and agents scheduling problem. Given a directed graph as city map, we should consider some arc-disjoint partitions of the graph as allocation. A graph partition problem is a fundamental problem of combinatorics, there are some effective algorithms for the problem. However, in the case that we consider the task allocation and scheduling, the graph partition problem is too difficult. Because of this fact, we employ an agent simulation for solving the snowblower problem.
  • Keywords
    computational complexity; directed graphs; heuristic programming; optimisation; scheduling; agent scheduling problem; agent simulation heuristics; arc-disjoint graph partition; directed graph; snowplowing problem; task allocation problem; Complexity theory; Heuristic algorithms; Modeling; Partitioning algorithms; Resource management; Roads; Snow; Agent Simulation Heuristics; Decision Making; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering (ICSEng), 2011 21st International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-1078-0
  • Type

    conf

  • DOI
    10.1109/ICSEng.2011.36
  • Filename
    6041832