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An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

Fadl Dahan, Khalil El Hindi, Ahmed Ghoneim

Source Title: International Journal on Semantic Web and Information Systems (IJSWIS)13(4)

ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522511601|DOI: 10.4018/IJSWIS.2017100109

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MLA

Dahan, Fadl, et al. "An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition." IJSWIS vol.13, no.4 2017: pp.181-197. http://doi.org/10.4018/IJSWIS.2017100109

APA

Dahan, F., El Hindi, K., & Ghoneim, A. (2017). An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition. International Journal on Semantic Web and Information Systems (IJSWIS), 13(4), 181-197. http://doi.org/10.4018/IJSWIS.2017100109

Chicago

Dahan, Fadl, Khalil El Hindi, and Ahmed Ghoneim. "An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition," International Journal on Semantic Web and Information Systems (IJSWIS) 13, no.4: 181-197. http://doi.org/10.4018/IJSWIS.2017100109

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Abstract

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.

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An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

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