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A survey on bio-inspired algorithms for web service composition

Conference Paper


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Abstract


  • Web service composition has become a promis-

    ing technology in a variety of e-science or e-business areas.

    There are a variety of models and methods to deal with

    this issue from dierent aspects. Bio-inspired algorithms

    are becoming main approaches and solutions. This paper

    reviews the current researches on web service composition

    based on bio-inspired algorithms, such as Ant Colony Opti-

    mization(ACO), Genetic Algorithm(GA), Evolutionary Al-

    gorithm(EA) and Particle Swarm Optimization(PSO). By

    analyzing and investigating dierent approaches, this paper

    gives an overview about the researches on bio-inspired al-

    gorithm in web service composition and point out future

    directions.

Authors


  •   Wang, Lijuan (external author)
  •   Shen, Jun
  •   Yong, Jianming (external author)

Publication Date


  • 2012

Citation


  • Wang, L., Shen, J. & Yong, J. (2012). A survey on bio-inspired algorithms for web service composition. Proceeding of the 16th International Conference on Computer Supported Cooperative Work in Design (pp. 569-574). USA: IEEE.

Scopus Eid


  • 2-s2.0-84864207098

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=9208&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1873

Has Global Citation Frequency


Start Page


  • 569

End Page


  • 574

Place Of Publication


  • USA

Abstract


  • Web service composition has become a promis-

    ing technology in a variety of e-science or e-business areas.

    There are a variety of models and methods to deal with

    this issue from dierent aspects. Bio-inspired algorithms

    are becoming main approaches and solutions. This paper

    reviews the current researches on web service composition

    based on bio-inspired algorithms, such as Ant Colony Opti-

    mization(ACO), Genetic Algorithm(GA), Evolutionary Al-

    gorithm(EA) and Particle Swarm Optimization(PSO). By

    analyzing and investigating dierent approaches, this paper

    gives an overview about the researches on bio-inspired al-

    gorithm in web service composition and point out future

    directions.

Authors


  •   Wang, Lijuan (external author)
  •   Shen, Jun
  •   Yong, Jianming (external author)

Publication Date


  • 2012

Citation


  • Wang, L., Shen, J. & Yong, J. (2012). A survey on bio-inspired algorithms for web service composition. Proceeding of the 16th International Conference on Computer Supported Cooperative Work in Design (pp. 569-574). USA: IEEE.

Scopus Eid


  • 2-s2.0-84864207098

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=9208&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1873

Has Global Citation Frequency


Start Page


  • 569

End Page


  • 574

Place Of Publication


  • USA