Zhangliang Qin

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One fundamental challenge for the problems of the traditional Particle Swarm Optimization is convergence too fast, also particles are easy to fall into premature, in addition that. it always get in the local optimum easily. This paper presents a new and improved Particle Swarm Optimization algorithm, unlike the existing PSO, we improved this optimization(More)
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