• DocumentCode
    1560829
  • Title

    A modified genetic algorithm for solving nonlinear hybrid optimization problem

  • Author

    Minle, Wang ; Xiaoguan, Gao ; Liu Guangbin

  • Author_Institution
    Second Artillery Eng. Inst., Xi´´an, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2167
  • Abstract
    This paper, aims at the problem of solving nonlinear hybrid integer programming using the modified genetic algorithm on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.
  • Keywords
    genetic algorithms; integer programming; missiles; nonlinear programming; encoding scheme; genetic operators; group targets; modified genetic algorithm; nonlinear hybrid integer programming; nonlinear hybrid optimization problem; Algorithm design and analysis; Design engineering; Design optimization; Encoding; Genetic algorithms; Genetic engineering; Linear programming; Missiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1341970
  • Filename
    1341970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1560829