A multi-objective particle swarm optimization for web service composition

Abstract

The main advantage of the web services technology is the possibility of preparing a compound web service with the existing to perform a proper task, but a service may be presented by several producers which one different in the quality of services. An adaptive process should select the elements of a compound web service in a way to answer effectively the user's needs in the quality of the services. There may be contrast in the optimization of the services qualities for some of them and against the others so we are involved with a multi multi-objective optimization. In this paper a web service composition model based on the Discrete Multi-Objective Particle Swarm Optimization is presented at which besides using the main advantages of standard PSO namely simplicity and speed a Pareto optimal set is presented as solutions. © 2010 Springer-Verlag Berlin Heidelberg.