Semantic service selection using Genetic Algorithm

In this paper, our focus is based on the study of similar Service Selection which is a challenging task to discover and deliver services prevails in semantic web mining research. Here, we enhance the QoS parameters like reliability, availability and consistency of service selection by implementing Genetic Algorithm (GA) in ontology repository, which is a search heuristic that mimics the process of natural evolution is used to generate useful solutions to optimize the number of similar services related to domain and search problems. We also evaluate reliability of service selection from ontology repository by considering two various parameters such as execution time and memory processing time and the reliability evaluation has been done by comparing a normal search and ontology-based search.