• DocumentCode
    1984744
  • Title

    A Study of Link Load Balancing Based on Improved Genetic Algorithm

  • Author

    Li Zhao ; Yu-min Dong ; Chen-yang Huang

  • Author_Institution
    Comput. Dept., Qingdao Technol. Univ., Qingdao, China
  • Volume
    2
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    277
  • Lastpage
    280
  • Abstract
    Load balancing technology can solve the network congestion problems of modern network which is caused by uneven distribution of traffic. As the network link load balancing is an NP-complete problem, it is difficult to use traditional method to deal with, introducing the idea of genetic algorithm. Using genetic algorithm, the characteristics of efficient and parallel can help to find the global optimal solution quickly. Article on the basis of traditional genetic algorithm, this paper puts forward a network link load balancing strategy based on improved genetic algorithm. Experiments show that it can find the answer to the problem better.
  • Keywords
    genetic algorithms; resource allocation; telecommunication traffic; NP-complete problem; global optimal solution; improved genetic algorithm; network congestion problem; network link load balancing strategy; uneven traffic distribution; Biological cells; Delays; Encoding; Genetic algorithms; Load management; Sociology; Statistics; genetic algorithms; load balancing; optimization; the network link;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.183
  • Filename
    6804882