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A kind of adaptive genetic algorithm and its application in model identification

In this paper, a kind of adaptive genetic algorithm based on float-encoding is introduced and applied in system identification. In the algorithm, the cross probability and mutation probability are assigned to each gene according to the fitness adaptively. The improvement can guarantee the colony multiplicity and the convergence. The simulation results of identifying a theoretical model and application to a real object have proved the accuracy and robust of adaptive genetic algorithm.