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Particle Swarm Optimization (PSO) algorithm is widely used to deal with global optimization problems. However, it is easy to be trapped into local optimal and thus usually fall into premature convergence when encountering complicated problems, such as high-dimension and peak optimizations. To solve such problems, we propose a hybrid search strategy, derived(More)