• DocumentCode
    3499160
  • Title

    An Approach for QoS-Aware Web Service Composition Based on Improved Genetic Algorithm

  • Author

    Liu, Huan ; Zhong, Farong ; Ouyang, Bang ; Wu, Jiajie

  • Author_Institution
    Dept. of Comput. Sci., Zhejiang Normal Univ., Jinhua, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    One of the most interesting challenges introduced by web services is the dynamic composability. In this paper, An A-G algorithm(a modified Genetic Algorithm)is proposed to solve QoS-aware service composition problem, which is based on Ant Colony Optimization(ACO)and Genetic Algorithm. Our approach aims at learning advantages of both algorithms and overcoming their shortcomings. Experimental results show that our approach can improve the efficiency of web service composition, it can not only find an optimal solution, but also has a better convergence speed than that of the classical ACO.
  • Keywords
    Web services; genetic algorithms; quality of service; QoS-aware Web service composition; ant colony optimization; genetic algorithm; quality of service; A-G algorithm; Ant Colony Optimization; Genetic Algorithm; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining (WISM), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8438-6
  • Type

    conf

  • DOI
    10.1109/WISM.2010.128
  • Filename
    5662296