Abstract

An algorithm for faring data points is presented in the paper. In this algorithm, researchers split data point set into several smaller point sets according to the number of data point set and features points of the point set, then genetic algorithm will be applied to fair each small point set. Details of this genetic such as fitness function to evaluate the fairness of point set, selection, crossover and mutation are also described in this paper. In order to accelerate its convergence speed, researchers develop the detection algorithm of feature points and the point set subdivision algorithm to control the size of population in per iteration. Experimental results show the efficiency of this method.

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