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In order to overcome the shortage of premature convergence caused by local optimization in the process of global optimization, an adaptive weight Particle Swarm Optimization algorithm with constriction factor is proposed combined with an analysis of convergence of Particle Swarm Optimization algorithm. The value of the inertia weight is set according to(More)
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