基于改进入侵野草算法的文本特征选择研究

An improved invasive weed optimization algorithm for text feature selection

为了更有效地进行文本特征的选择,提高选择精度,在一种基于标准入侵野草算法的文本特征选择方法基础上,采用改进的入侵野草算法,即在标准算法中结合小生境思想,对野草种群进行分类竞争繁殖,以增加种群的多样性,提高该算法的全局寻优能力,同时在算法的后期采用自适应小生境数来提高收敛精度,从而提高文本特征选择的准确率,最后通过仿真实验与其他方法进行对比,证实了该方法的良好效果。

In order to be more effectively, and to improve the accuracy of text feature selection, on thebasis of text feature selection method based on standard invasion weeds algorithm, a method based on akind of improved invasion weeds algorithm is proposed, namely to introduce the niche thought to classifythe population reproduction competition, increase species diversity, improve the global search capabilityof the algorithm, and in the late algorithm using adaptive niche to improve the convergence precision, soas to improve the accuracy of text feature selection.Finally, the good results of the method is confirmedby simulation experiment comparing with other methods.