DefinePK

Abstract

Selecting best services over internet has remained an issue for the community of researchers who concern with the problem of selecting best services. The advances in the area of service selection in terms of quality have empowered the ability to host the artificial intelligence with the use of soft computing techniques for selecting web services dynamically in a timely manner. In this paper we study and analyze the performance of soft computing techniques including evolutionary algorithms such as Genetic Algorithm, Particle Swarm optimization, Ant Colony optimization and Memetic algorithm for selecting the suitable service on a travel domain space by considering the quality parameters. The results obtained in this extensive study are compared and analyzed based on their performance metrics.