A New Modified Approach of Mean Particle Swarm Optimization Algorithm

In this paper, new modified algorithm MMPSO is presented. Modified Mean Particle Swarm Optimization has been done by updating the direction of each particle in the range of search space [-100, 100]. This modified approach to increase the efficiency and improved the convergence speed of standard particle swarm optimization algorithm. It can be tested on five benchmark problems and comparing the performance of MMPSO with SPSO and MPSO in the term of minimum function value, mean value, standard deviation (S.D.), number of clocks and rate (%) of success.

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