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International Conference on Knowledge Science, Engineering and Management

KSEM 2010: Knowledge Science, Engineering and Management pp 549–554Cite as

Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6291))

Abstract

Finding an optimal solution for QoS-aware Web service composition with various restrictions on qualities is a multi-objective optimisation problem. A popular multi-objective genetic algorithm, NSGA-II, is studied in order to provide a set of optimal solutions for QoS-based service composition. Experiments with different numbers of abstract and concrete services confirm the expected behaviour of the algorithm.

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References

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Author information

Authors and Affiliations

  1. Southwest University, Chongqing, 400715, P.R. China

    Li Li, Ling Ou, Zili Zhang & Peng Cheng

  2. School of IT, The University of Sydney, Sydney, 2006, Australia

    Pengyi Yang

Authors
  1. Li Li
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  2. Pengyi Yang
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  3. Ling Ou
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  4. Zili Zhang
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  5. Peng Cheng
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Editor information

Editors and Affiliations

  1. School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, BT37 0QB, UK

    Yaxin Bi

  2. Innovation and Technology Research Laboratory, University of Technology, 2007, Sydney, NSW, Australia

    Mary-Anne Williams

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, L., Yang, P., Ou, L., Zhang, Z., Cheng, P. (2010). Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_50

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  • DOI: https://doi.org/10.1007/978-3-642-15280-1_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15279-5

  • Online ISBN: 978-3-642-15280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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