REDUNDANT GENE ELIMINATION BY SHUFFLED FROG LEAPING OPTIMIZATION

摘要：

In the field of bioinformatics, redundant gene selection is an important technique to improve the performance of learning models. This paper proposes a novel algorithm on Redundant Gene Elimination by Shuffled Frog Leaping Optimization (RGE-SFLO), which tries to find a compact gene subset with great predictive ability and little inner redundancy. Compared with the previous works, RGE-SFLO tries to find the optimal gene subset by the shuffled frog leaping optimization, which is a very efficient optimization algorithm. The outstanding performance of RGE-SFLO has been examined by the experiments on several real world microarray data sets.

关键词： Feature Selection Shuffled Frog Leaping Optimization Swarm Intelligence Algorithm

作者: X.Q. Zeng S.F. Chen

作者单位: Computer Center, Nanchang University, Nanchang 330029, China Department of Computer Science and Technology, Nanchang Institute of Technology, Nanchang 330099, Ch

会议类型: 国际会议

会议名称: 2012 International Conference on System Simulation(2012年国际系统仿真学术会议)

会议地点: 上海

会议语种:英文

页码: 419-424

在线出版日期: 2012-04-06（万方平台首次上网日期，不代表论文的发表时间）