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Interval cost feature selection using multi-objective PSO and linear interval programming
Zhang, Yong2; Gong, Dunwei1,2; Rong, Miao2; Guo, Yinan2
刊名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016
卷号9712 LNCS页码:579-586
关键词Costs Mathematical transformations Particle swarm optimization (PSO) Feature selection algorithm Feature selection problem Interval Interval coefficients Linear intervals Multi objective Particle swarm Particle swarm algorithm
ISSN号03029743
DOI10.1007/978-3-319-41000-5_58
英文摘要Interval cost feature selection problems (ICFS) are popular in real-world. However, since the optimized objectives not only are multiple but also contain interval coefficients, there have been few solving methods. This paper first transforms the ICFS into a multi-objective one with exact coefficients by the linear interval programming. Second, by combining a multi-objective particle swarm algorithm (which has a good performance in exploration) with a powerful problem-specific local search (which is good at exploitation), we propose a memetic multi-objective feature selection algorithm (MMFS-PSO). Finally, experimental results confirmed the advantages of our method. © Springer International Publishing Switzerland 2016.
语种英语
出版者Springer Verlag
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/113031]  
专题兰州理工大学
作者单位1.School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
2.School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou; 221116, China;
推荐引用方式
GB/T 7714
Zhang, Yong,Gong, Dunwei,Rong, Miao,et al. Interval cost feature selection using multi-objective PSO and linear interval programming[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2016,9712 LNCS:579-586.
APA Zhang, Yong,Gong, Dunwei,Rong, Miao,&Guo, Yinan.(2016).Interval cost feature selection using multi-objective PSO and linear interval programming.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),9712 LNCS,579-586.
MLA Zhang, Yong,et al."Interval cost feature selection using multi-objective PSO and linear interval programming".Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9712 LNCS(2016):579-586.
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