基于遗传算法的特征子集选择方法

An algorithm of feature subset selection based on genetic algorithm

特征子集选择问题一直是人工智能领域研究的重要内容,特别是近几年来,特征子集选择算法研究巳经成为机器学习和数据挖掘等领域的研究热点。本文提出了基于遗传算法的特征子集选择算法,实验证明该算法是简单、正确、有效的,并具有良好的收敛性和稳定性。

Feature subset selection is one of the important research issues in the field of artificial intelligence. Especially, in the past few years it has received considerable attention from machine learning and data mining. In this paper, an algorithm of feature subset selection based on genetic algorithm was proposed. It was proved by experimental results that the convergence and the stability of this algorithm are adequately achieved.