摘要
在基于Rough集理论的知识发现过程中,减小属性约简复杂度问题是重要研究内容之一。该文分析了基于遗传算法的约简算法,提出了一种在优化初始群体基础上提高算法性能的遗传约简算法。
Reduction is one of the important issues of the KDD based on the rough set theory.After the analysis of the current reduction algorithm,an algorithm for attributes reduction in rough sets based on the genetic algorithm is proposed,which is mainly based on optimizing the initial population.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第15期106-108,共3页
Computer Engineering and Applications
基金
湖北自然科学基金(编号:2001ABB006)
