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Inertia weight is one of the most important adjustable parameter of particle swarm optimization (PSO). The proper selection of inertia weight can prove a right balance between global search and local search. In this paper, two novel PSOs with non-linear inertia weight based on the tangent function and the arc tangent function are provided, respectively. The performance of the proposed PSO model is...
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