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An Efficient User-Centric Web Service Composition Based on Harmony Particle Swarm Optimization

Author

Listed:
  • Hela Fekih

    (COSMOS Lab, ENSI, University of Manouba, Manouba, Tunisia)

  • Sabri Mtibaa

    (COSMOS Lab, ENSI, University of Manouba, Manouba, Tunisia)

  • Sadok Bouamama

    (Ecole Nationale des Sciences de l'Informatique, Manouba, Tunisia)

Abstract

Generally, the composition is the process of combining services to fulfill complex tasks based on their functional and non-functional values such as quality of services (QoS) and context attributes. However, to produce a composition with values that satisfy many requirements is a challenging focus. In this article, the authors proposed a new approach centered evolutionary algorithm called the harmony particle swarm optimization (HPSO) algorithm that leads to an efficient composition with better performance and execution time. The authors' proposed method is a new hybrid version of the harmony search and the particle swarm optimization. The HPSO is designed to generate the best web service composition in a discrete search space. Furthermore, the method includes two filtering processes called Skyline operator and local consistency reinforcement techniques. These methods filter the search space and keep only the most representative candidate services. Results show the effectiveness and the accuracy of the proposed approach.

Suggested Citation

  • Hela Fekih & Sabri Mtibaa & Sadok Bouamama, 2019. "An Efficient User-Centric Web Service Composition Based on Harmony Particle Swarm Optimization," International Journal of Web Services Research (IJWSR), IGI Global, vol. 16(1), pages 1-21, January.
    • Handle: RePEc:igg:jwsr00:v:16:y:2019:i:1:p:1-21
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    Cited by:

    1. Xunyou Min & Xiaofei Xu & Zhongjie Wang & Zhizhong Liu, 2022. "A Diffraction Service Composition Approach Based on S-ABCPC: An Improved ABC Algorithm," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 13(3), pages 1-26, July.

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