Rough Set Attribute Reduction Algorithm Based on Immune Genetic Algorithm

摘要：

In this paper, we propose a kind of rough set attribute reduction algorithm which is based on immune genetic algorithm. It adopts adaptive crossover and mutation operators, uses the step by step evolution tactics based on shrinking precision as the stop criterion. The experiment proves that the algorithm is effective, it has improved the global search ability to avoid falling into local optimum, and it can quickly get relative minimum attribute reduction.

关键词： rough set attribute reduction immune genetic algorithm

作者: ZHI Jun LIU Jian-yong WANG Zhen

作者单位: Zhenjiang Watercraft College, 212003, Nanjing, 210007, P.R..China PLA University of Science and Tech Zhenjiang Watercraft College, 212003, Nanjing, 210007, P.R..China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 421-424

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）