• DocumentCode
    711838
  • Title

    Automatic Military One-Point Located Symbols Placement Based on the Genetic Algorithm

  • Author

    Cao Zewen ; Zhao Shi-Wei ; Zhou Yao ; Chen Wen-Kai

  • Author_Institution
    Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    160
  • Lastpage
    164
  • Abstract
    The paper proposes a solution to the problem of military one-point located symbols placement whereby a computer program plots automatically a deployment map. The solution treats the problem as combination optimization of space competition and consists of the following steps. Firstly, prepare 5 or 9 optional plotting positions for every symbol. Secondly, build the evaluation function for every optional position and collision situation, and hence build the evaluation model of the whole map. Finally, use the genetic algorithm to iteratively optimize the evaluation function value, thus obtaining a satisfactory plotting map. Our experiments demonstrate that the solution is effective.
  • Keywords
    genetic algorithms; military computing; automatic military one-point located symbol placement; collision situation; combination optimization; computer program; evaluation function value; genetic algorithm; optional plotting positions; Biological cells; Computers; Genetic algorithms; Labeling; Military computing; Sociology; Statistics; Automatic military one-point located symbol placement; Genetic algorithm; Military plotting quality evaluation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.43
  • Filename
    7120583