Bat algorithm with principal component analysis

doi:10.1007/s13042-018-0888-4

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Bat algorithm with principal component analysis
	Cui, Zhihua 1; Li, Feixiang 1; Zhang, Wensheng2
发表期刊	INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
ISSN	1868-8071
	2019-03-01
卷号	10 期号:3 页码:603-622
通讯作者	Cui, Zhihua(cuizhihua@gmail.com)
摘要	The bat algorithm (BA) is a novel evolutionary optimization algorithm, most studies of which have been performed with low-dimensional problems. To test and improve the global search ability of BA with large-scale problems, two new variants using principal component analysis (PCA_BA and PCA_LBA) are designed in this paper. A correlation threshold and generation threshold are determined using the golden section method to enhance the effectiveness of this new strategy. To test performance, CEC'2008 large-scale benchmark functions are utilized and compared with other algorithms; simulation results indicate the validity of this modification.
关键词	Bat algorithm Principal component analysis Golden section method
DOI	10.1007/s13042-018-0888-4
关键词[WOS]	PARTICLE SWARM OPTIMIZATION ; SELECTION ; STRATEGY
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; Natural Science Foundation of Shanxi Province[201601D011045] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002] ; National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; Natural Science Foundation of Shanxi Province[201601D011045] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002]
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000459497200014
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：72[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25017
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Cui, Zhihua
作者单位	1.Taiyuan Univ Sci & Technol, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cui, Zhihua,Li, Feixiang,Zhang, Wensheng. Bat algorithm with principal component analysis[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2019,10(3):603-622.
APA	Cui, Zhihua,Li, Feixiang,&Zhang, Wensheng.(2019).Bat algorithm with principal component analysis.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,10(3),603-622.
MLA	Cui, Zhihua,et al."Bat algorithm with principal component analysis".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 10.3(2019):603-622.