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Evolutionary programming is a good global optimization method. By introduction the improved adaptive mutation operation and improved selection, the new adaptive evolutionary programming is proposed in this paper. This algorithm is verified by simulation experiment of typical optimization function. Comprehensive comparisons with other approach show that the proposed approach is superior over other...
A novel hybrid learning algorithm based on a evolutionary programming to design a growing fuzzy neural network, named self-organizing fuzzy neural network based on evolutionary programming, to implement Takagi-Sugeno (TS) type fuzzy models is proposed in this paper. construct and parameters of the fuzzy neural network is trained by evolutionary algorithms. Simulation results demonstrate that a compact...
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