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Particle Swarm Optimization (PSO) parameters like the Inertia weight and acceleration coefficients are generally kept constant in classical PSO. But it has been found that changing these parameters dynamically makes the PSO more efficient. In this paper we propose a modified PSO algorithm where we change the value of the acceleration coefficient dynamically over iterations. We have used a Fuzzy Inference...