Improved gravitational search algorithm based on chaotic local search

CORC > 自动化研究所 > 中国科学院自动化研究所 > 精密感知与控制研究中心 > 人工智能与机器学习

	Improved gravitational search algorithm based on chaotic local search
	Guo, Zhaolu 1,2; Zhang, Wensheng 2; Wang, Shenwen 3
刊名	INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
	2021
卷号	17 期号:3 页码:154-164
关键词	evolutionary algorithm optimisation algorithm gravitational search local search chaotic map
ISSN号	1758-0366
通讯作者	Guo, Zhaolu(gzl@jxust.edu.cn)
英文摘要	The traditional gravitational search algorithm (GSA) maintains good diversity of solutions but often demonstrates weak local search ability. To promote the local search ability of GSA, a new GSA based on chaotic local search (CLSGSA) is introduced in this paper. In its search operations, CLSGSA first executes the conventional search operations of the basic GSA to maintain the diversity of solutions. After that, CLSGSA executes a chaotic local search with the search experience from the current best solution to increase the local search capability. In the experiments, we utilise a suite of benchmark functions to verify the performance of CLSGSA. Moreover, we compare the proposed CLSGSA with several GSA variants. The comparisons validate the effectiveness of CLSGSA.
资助项目	National Natural Science Foundation of China[61662029] ; Education Department Scientific Research Foundation of Jiangxi Province, China[GJJ160623] ; Education Department Scientific Research Foundation of Jiangxi Province, China[GJJ170495] ; Program of Qingjiang Excellent Young Talents, Jiangxi University of Science and Technology
WOS关键词	DIFFERENTIAL EVOLUTION ; OPTIMIZATION ALGORITHM ; GLOBAL OPTIMIZATION
WOS研究方向	Computer Science
语种	英语
出版者	INDERSCIENCE ENTERPRISES LTD
WOS记录号	WOS:000649186100003
资助机构	National Natural Science Foundation of China ; Education Department Scientific Research Foundation of Jiangxi Province, China ; Program of Qingjiang Excellent Young Talents, Jiangxi University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44488]
专题	精密感知与控制研究中心_人工智能与机器学习
通讯作者	Guo, Zhaolu
作者单位	1.Jiangxi Univ Sci & Technol, Sch Sci, Ganzhou 341000, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Hebei GEO Univ, Sch Informat Engn, Shijiazhuang 050031, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Guo, Zhaolu,Zhang, Wensheng,Wang, Shenwen. Improved gravitational search algorithm based on chaotic local search[J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,2021,17(3):154-164.
APA	Guo, Zhaolu,Zhang, Wensheng,&Wang, Shenwen.(2021).Improved gravitational search algorithm based on chaotic local search.INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,17(3),154-164.
MLA	Guo, Zhaolu,et al."Improved gravitational search algorithm based on chaotic local search".INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 17.3(2021):154-164.