• DocumentCode
    2950826
  • Title

    An Adaptive Genetic Algorithm for Automated Annotation of Point Elements in Numerical Map

  • Author

    Zhang, Hongwu ; Feng, Hongcai ; Liu, Changhua

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    This paper proposes an adaptive genetic algorithm for automated annotation of point elements in numerical map. Firstly, analyze the automatic annotation problem for point elements in numerical map, present an adaptive genetic algorithm for automated annotation of point elements (AGAAA), and analyze its methods and steps of the algorithm. Experiments show that MAGA is efficient and adaptive which solves the conflicting, overlapping and relocating among the point elements and their labels.
  • Keywords
    cartography; genetic algorithms; adaptive genetic algorithm; automated point element annotation; numerical map; Algorithm design and analysis; Biological cells; Encoding; Genetic algorithms; Optimization; Silicon; User interfaces; Automated Annotation; Point Elements; adaptive genetic algorithm; conflicting; numerical map; overlapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0960-9
  • Electronic_ISBN
    978-0-7695-4480-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.80
  • Filename
    5997492
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2950826