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CLC number: TP311

On-line Access: 2011-09-09

Received: 2010-09-02

Revision Accepted: 2011-04-02

Crosschecked: 2011-07-29

Cited: 3

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.9 P.730-742


Applying gravitational search algorithm in the QoS-based Web service selection problem

Author(s):  Bahareh Zibanezhad, Kamran Zamanifar, Razieh Sadat Sadjady, Yousef Rastegari

Affiliation(s):  Computer Engineering Department, Islamic Azad University, Najafabad Branch, Isfahan, Iran, Electrical and Computer Engineering Department, Shahid Behehsti University, Tehran, Iran

Corresponding email(s):   b.zibanezhad@gmail.com, zamanifar@eng.ui.ac.ir

Key Words:  Web service composition, Gravitational search algorithm (GSA), Quality of service (QoS), Ontology engineering

Bahareh Zibanezhad, Kamran Zamanifar, Razieh Sadat Sadjady, Yousef Rastegari. Applying gravitational search algorithm in the QoS-based Web service selection problem[J]. Journal of Zhejiang University Science C, 2011, 12(9): 730-742.

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author="Bahareh Zibanezhad, Kamran Zamanifar, Razieh Sadat Sadjady, Yousef Rastegari",
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publisher="Zhejiang University Press & Springer",

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%T Applying gravitational search algorithm in the QoS-based Web service selection problem
%A Bahareh Zibanezhad
%A Kamran Zamanifar
%A Razieh Sadat Sadjady
%A Yousef Rastegari
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000305

T1 - Applying gravitational search algorithm in the QoS-based Web service selection problem
A1 - Bahareh Zibanezhad
A1 - Kamran Zamanifar
A1 - Razieh Sadat Sadjady
A1 - Yousef Rastegari
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 9
SP - 730
EP - 742
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000305

With the growing use of service-oriented architecture for designing next generation software systems, the service composition problem and its execution complexity have become even more important in responding to different user requests. The gravitational search algorithm is one of the latest heuristic algorithms. It has a number of distinguishing features, such as rapid convergence, lower memory usage, and the use of particular parameters, for instance, the distance between the solutions. In this paper, we propose a model for the optimization of the web service composition problem based on qualitative measures and the gravitational search algorithm. To determine the efficacy of this proposed model we solve the problem with the particle swarm optimization algorithm for comparison. Simulation results show that the gravitational search algorithm has a high potential and substantial efficiency in finding the best combination of Web services.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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