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This paper concerns the balance between exploration and exploitation for the uncertain environment based on the particle swarm optimizer. Furthermore, the empirical analysis is based on the proposed membership function AEr and AEi, which can measure the distinctions between exploration and exploitation more precisely than before. The experiments are orthogonal designed under different circumstances...
Under the background of the balance of exploration and exploitation, this paper analyzes the causes of the optimization hardness by using the concepts of effective ratio of exploration and exploitation. Then, a novel method is proposed to estimate the optimal feature factor, which is the essential part of optimal contraction theorem. At last, the method is tested with eight test functions. Some disadvantages...
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