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
关键词	Feature selection Cost Interval Particle swarm Multi-objective
卷号	9712
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.
会议录	ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT I
会议录出版者	SPRINGER INT PUBLISHING AG
会议录出版地	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000386323900058
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36419]
专题	兰州理工大学
通讯作者	Zhang, Yong
作者单位	1.Lanzhou Univ Technol, Sch Elect Engn & Informat Engn, Lanzhou 730050, Peoples R China 2.China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R 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:.