• DocumentCode
    1890789
  • Title

    Integer Encoding Differential Evolution Algorithm for Integer Programming

  • Author

    Deng, Changshou ; Zhao, Bingyan ; Yang, Yanlin ; Deng, Anyuan

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel integer encoding Differential Evolution (IEDE) algorithm was proposed for integer optimization problems in this paper. Based on the standard framework of the traditional DE, the population was encoding with integer. The IEDE inherited the crossover operator and selection operator from the traditional DE directly. And a new integer mutation operator was defined to deal with the integer encoding individual. Several initial simulation results show it is effective and efficient in solving the integer optimization problems. The IEDE is a new effective way for the integer optimization problems.
  • Keywords
    encoding; evolutionary computation; integer programming; IEDE; integer encoding differential evolution algorithm; integer mutation operator; integer optimization problems; integer programming; Algorithm design and analysis; Encoding; Linear programming; Optimization; Particle swarm optimization; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677899
  • Filename
    5677899