一种新的应用于文本特征子集优化的GATS算法

针对文本分类中特征子集优化问题,将禁忌搜索算法引入到遗传算法中对遗传算法的核心算子———交叉算子进行改进形成禁忌交叉算子,改进后的算法称为GATS(遗传禁忌搜索算法),并将其应用在文本分类中来实现空间降维。实验证明,应用此方法进行文本特征项的选取不仅能够保持GA和TS算法本身的优点,还能在一定程度上提高文本分类的准确率。

New optimization GATS algorithm method used in text features subsets

For feature subset optimization problems in text categorization，taboo search algorithm is introduced in genetic algorithm for its core operator to form tabu crossover operator，the improved algorithm called the GATS（genetic tabu search algorithm），and it be applied to text categorization to realize the dimensionality reduction of the feature space.The experiments show that the application of this method to select the characteristics of the text can not only maintain the advantages of the GA and the TS algorithm themselves，but also to some extent to improve the classification accuracy of the text.