An Optimized Service Selection System Using Fuzzy Logic and Genetic Algorithm
No Thumbnail Available
African Journal of Computing & ICT
Various QoS non-functional characteristics are described as measureable quantities and expressed in terms of reputation, reliability and availability, cost and response time. In  , we introduced a framework for the Development of An Optimized Solution for Quality of Service Delivery Using Fuzzy Logic and Genetic Algorithm. We elucidated the fact that Quality of Service (QoS) plays a major role in selecting web services in terms of qualitative measure We proposed a future work that will delve into the implementation procedure for web service selection. In this paper, we reviewed existing selection systems and their designs and then presents a Fuzzy and genetic algorithms based system to provide optimality in web services selection.
Quality of Service , Quality of Service Delivery , Fuzzy Logic and Genetic Algorithm , Information technology , Research Subject Categories::TECHNOLOGY
Ogude U.C. & Onyejegbu L. N. (2015). An Optimized Service Selection System Using Fuzzy Logic and Genetic Algorithm. Afr J. of Comp & ICTs. Vol.8(3) 33-44pp.