A Modified Swarm Intelligence-based Optimization Approach is presented, incorporating hybridization with Particle Swarm Optimization (PSO) to improve the speed and solution in an accurate way. The purpose of this paper is tried to balance both the things in an effective way to learn new technologies. This both covers the strength and optimization process with an improved efficiency and robustness. It corrects the performance of solving complex problems with superiority and making it an approach in front of real-world application.