• DocumentCode
    2688013
  • Title

    An ant-based algorithm for annular sorting

  • Author

    Amos, Martyn ; Don, Oliver

  • Author_Institution
    Manchester Metropolitan Univ., Manchester
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    142
  • Lastpage
    148
  • Abstract
    We present an ant-based algorithm for spatially sorting objects into an annular structure. The model is minimal, as it requires only stochastic ant behaviour coupled with a pheromone-inspired "attraction-repulsion" mechanism. This is the first annular sorting algorithm to consider the problem of objects with non-uniform size, as well as the situation where objects are pre-sorted. The algorithm consistently generates high-quality annular structures, and is particularly powerful in situations where the initial configuration of objects is similar to those observed in nature. We suggest that this model provides a powerful algorithmic framework, as well as a contribution to the study of "attraction-repulsion" models of animal behaviour.
  • Keywords
    artificial intelligence; annular sorting; annular structure; ant-based algorithm; pheromone-inspired attraction-repulsion mechanism; stochastic ant behaviour; Animal behavior; Animal structures; Biological system modeling; Clustering algorithms; Computer simulation; Mathematics; Power generation; Robot sensing systems; Sorting; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424465
  • Filename
    4424465