计算机工程2012，Vol.38Issue(8)：153-155,158,4.DOI:10.3969/j.issn.1000-3428.2012.08.050
基于多目标进化的属性约简算法
Attribute Reduction Algorithm Based on Multi-objective Evolution
摘要
Abstract
Aiming at the problem of attribute reduction, this paper proposes a new multi-objective particle swarm optimization algorithm which aims at the least reduction of attributes sets and maximum of the dependency of the attributes. It searches best particle based on non-dominated sorting and weighting method. Combining the new motion equation with ε-neighborhood perturbation, the algorithm has strong global and local searching ability. Experimental results with UCI data sets show that the proposed algorithm is more effective than the compared algorithms.关键词
粗糙集/非支配排序/属性约简/多目标进化/适应度Key words
rough set/non-dominated sorting/attribute reduction/multi-objective evolution/fitness分类
信息技术与安全科学引用本文复制引用
范会联,仲元昌..基于多目标进化的属性约简算法[J].计算机工程,2012,38(8):153-155,158,4.基金项目
科技部创新基金资助项目(10C26215115008) （10C26215115008）
重庆市教委自然科学基金资助项目(KJ111306) （KJ111306）
