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. The new inertia weight based on periodic linear change, repeat the change process from 0.9226 to 0.6226 until it reaches the maximum generation. At the beginning, the position of the particle change fast, when the given value is reached, the particle’s position change with a fuzzy formula. Using the new algorithm, the global and local searching ability of the particle swarm optimization algorithm are improved obviously, the searching accuracy is also improved. To a certain extent, the premature convergence problem of particle swarm algorithm is solved. The algorithm also could be used to solve some complex computational problems in many fields.

A new Particle Swarm Optimization Algorithm based on Periodic Changing Inertia Weight