Gene Expression Programming for Intelligent Data Understanding: Survey and New Directions

摘要：

Gene expression programming (GEP) is a new hybrid of genetic algorithms (GA) and genetic programming (GP). It has been demonstrated that GEP greatly surpasses the traditional tree-based GP for its simplicity, high efficiency,solution compactness and comprehensibility. This paper reviews the major works of GEP during the last four years, especially its application to intelligent data understanding (IDU), and then presents the new research directions of GEP.

关键词： Gene expression programming Intelligent data understanding Genetic programming K-expression

作者: XUE Siqing CAI Zhihua KANG Lishan

作者单位: School of Computer Science China University of Geosciences Wuhan 430074, Hubei Province, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 779-784

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）