• DocumentCode
    1635776
  • Title

    Letting ants labeling point features [sic.: for ´labeling´ read ´label´]

  • Author

    Schreyer, Michael ; Raidl, Günther R.

  • Author_Institution
    Inst. of Comput. Graphics & Algorithms, Vienna Univ. of Technol., Austria
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1564
  • Lastpage
    1569
  • Abstract
    This paper describes an ant colony system (ACS) for labeling point features. A pre-processing step reduces the search space in a safe way. The ACS applies local improvement and masking, a technique that focuses the optimization on critical regions. Empirical results indicate that the ACS reliably identifies high-quality solutions which are in many cases better than those of a state-of-the-art genetic algorithm for point-feature labeling
  • Keywords
    artificial life; feature extraction; optimisation; ant colony system; critical regions; genetic algorithm; high-quality solution identification; local improvement; masking; optimization; point-feature labeling; preprocessing step; search space reduction; Ant colony optimization; Cities and towns; Computer graphics; Genetic algorithms; Knowledge based systems; Labeling; NP-hard problem; Space technology; Tagging; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004475
  • Filename
    1004475