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Title |
An Algorithm for Optimizing Web Services Composition by Combining GA and ACO Algorithms |
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Author |
Mahdi Bigham and AbbasAli Rezaee |
| Citation |
Vol. 26 No. 8 pp. 101-109 |
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Abstract |
Today, service providing for users is one of the main issues and challenges for users for Web development. So, extensive researches are presented about the variety of Web services and how to combine them for giving an optimal response in terms of time and cost for users. Another issue that must be considered is the existence of different scenarios for different Web services composition and designing systems that have a flexible architecture to satisfy users. For this reason, soft wares that are being produced in Web services domain should have an optimal condition for Web services composition. In this article, we will examine parallel scenario for the combination of different Web services for making the best answer in the services search space and will use a Hybrid algorithm of Ant Colony Optimization and Genetic Algorithm (HACOGA) for increasing the chance of gaining the best optimal response. The results of the implementation of this method in MATLAB software show that HACOGA algorithm will work better than the optimal genetic algorithm. |
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Keywords |
Web Services Composition, Genetic Algorithm, HACOGA, Qualitative Factors. |
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