Semantic Web Services Composition Model Using Ant Colony Optimization

The interest of this work is to discover the most frequent query parts that allows to resolve the optimization composition problem with the cooperation existing between the cooperating agent and the artificial ants, this is due to the exponential increase of the services available in the web that makes it very difficult to select and discover in a reasonable time. In this paper, we present a composition model using the ant colony algorithm and a cooperating agent to find quasi-optimal solutions. The experimental results obtained are encouraging and have been shown as efficient in terms of optimality.