Efficient Web Service Retrieval Using Adaptive Genetic Algorithm

The rapid development in the web applications has increased the research attention towards service computing through which the web services can be retrieved based on the user requirement. However, invoking service details is a challenging task due to voluminous availability of web services and the need to enable quality assisted web services. Literature has focussed on addressing these two challenges. This paper reports a procedure of web service composition by selecting various services using service selection criterion based on the user request. The proposed method is comprised of a service selection model, which is the cost optimization model solved using adaptive genetic algorithm, and web service composition procedure. The service selection intends to select the expected services by solving the cost model without considering other technical constraints. The adaptive genetic algorithm enables relatively quick convergence to select the appropriate services using the genetic operators.