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In this paper, the effect of acceleration factors on position expectation and variance in particle swarm optimization algorithm was studied. After statistic discuss in theory, a new parameter selection that setting the cognitive acceleration factor as 1.85 and the social acceleration factor as 2 has been proposed at the view of improving system stability. Five benchmark functions were used to test...
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