An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition
, Fadl Dahan, Khalil El Hindi, Ahmed Ghoneim . 2017
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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