Fuzzy Logic with Galactic Swarm Optimization Based Higher Vocational English Teaching System in Cloud Computing

The cloud-assisted English teaching advancements plays a vital part in make sure that the teaching and learning practices. The English learning and teaching standard are continuously considered as the most advanced development in the vocational education. The enhancing the utilization of the English learning and teaching in vocational education is a fascinating subject. The English teachers faced challenges to acquire an interaction as well as adaptability with their online classroom. The aim of this research is to determine the performance of the higher vocational English teaching system. Hence, this research proposes the Fuzzy Logic with Galactic Swarm Optimization (FL-GSO) approach for the higher vocational English teaching system in Cloud Computing. GSO enhances the effectiveness of educational applications through optimizing various parameters and reducing latency. The experimental outcomes demonstrate that the proposed FL-GSO approach attains the better recall rate of 0.64 on the different packet sizes like 200 respectively as compared to Fuzzy Logic with Cuckoo Search Optimization (FL-CSO).