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Inertia weight w and acceleration coefficients c are the most effective ways of improving the performance of particle swarm optimization (PSO). A improved PSO was proposed, in which w and c were set to be the function of fitness value and adapted itself in the way of fitness feedback at each iteration. In order to reduce the probability of trapping into a local minimum value, w was recalculated according...
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