Interval cost feature selection using multi-objective pso and linear interval programming

doi:10.1007/978-3-319-41000-5_58

CORC > 兰州理工大学 > 兰州理工大学

	Interval cost feature selection using multi-objective pso and linear interval programming
	Zhang, Yong 2; Gong, Dunwei 1,2; Rong, Miao 2; Guo, Yinan 2
	2016
会议日期	June 25, 2016 - June 30, 2016
会议地点	Bali, Indonesia
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
卷号	9712 LNCS
DOI	10.1007/978-3-319-41000-5_58
页码	579-586
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.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117245]
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[C]. 见:. Bali, Indonesia. June 25, 2016 - June 30, 2016.