• DocumentCode
    2286965
  • Title

    A new deterministic annealing algorithm for maximum clique

  • Author

    Jagota, Arun ; Pelilo, M. ; Rangarajan, Anand

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Santa Cruz, CA, USA
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    505
  • Abstract
    We propose a new heuristic for approximating the maximum clique problem based on a recently introduced deterministic annealing algorithm which generalizes Waugh and Westewelt´s cluster-competitive net. The approach is centered around a fundamental result proved by Motzkin and Straus in the mid-1960s, and recently expanded in various ways, which allows us to formulate the maximum clique problem in terms of a linearly constrained quadratic program. Preliminary experiments on random as well as standard benchmark graphs are presented which demonstrate the validity of the approach
  • Keywords
    deterministic algorithms; heuristic programming; simulated annealing; cluster-competitive net; deterministic annealing; generalizes; linearly constrained quadratic program; maximum clique; maximum clique problem; Annealing; Clustering algorithms; Computer science; Computer simulation; Equations; Game theory; Limit-cycles; Neural networks; Quadratic programming; Radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.859445
  • Filename
    859445