Swarm Optimization techniques using Attribute assortment and Clustering for Machine Learning Classifiers

Software defined Networking addresses the growth of traffic with static architectures. SDN is a standard which separates the network structures. Quality of Service is used with network traffic to transfer high bandwidth and multimedia information. Fractional Order Darwinian optimization (FODPSO) is used with Particle Swarm Optimization algorithm to enhance the detection accuracy. In this research paper, comparison of different Classification algorithms are used to achieve better performance.