南方科技大学知识苑(SUSTech KC): Evolutionary multiobjective optimization via efficient sampling-based offspring generation

题名	Evolutionary multiobjective optimization via efficient sampling-based offspring generation
作者	He, Cheng 1; Li, Lianghao 2; Cheng, Ran3 ; Jin, Yaochu 4
通讯作者	Cheng, Ran
发表日期	2023-02-01
DOI	10.1007/s40747-023-00990-z
发表期刊	Complex & Intelligent Systems 影响因子和分区
ISSN	2199-4536
EISSN	2198-6053
卷号	9 期号:5
摘要	With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with different decision variable handling strategies have been proposed in recent years. They mainly emphasize the balance between convergence enhancement and diversity maintenance for multiobjective optimization but ignore the local search tailored for large-scale optimization. Consequently, most existing EAs can hardly obtain the global or local optima. To address this issue, we propose an efficient sampling-based offspring generation method for large-scale multiobjective optimization, where convergence enhancement and diversity maintenance, together with ad hoc local search, are considered. First, the decision variables are dynamically classified into two types for solving large-scale decision space in a divide-and-conquer manner. Then, a convergence-related sampling strategy is designed to handle those decision variables related to convergence enhancement. Two additional sampling strategies are proposed for diversity maintenance and local search, respectively. Experimental results on problems with up to 5000 decision variables have indicated the effectiveness of the algorithm in large-scale multiobjective optimization.
关键词	Large-scale optimization Multiobjective optimization Evolutionary algorithm Sampling
相关链接	[来源记录]
收录类别	SCI
语种	英语
学校署名	通讯
资助项目	National Natural Science Foundation of China["U20A20306","61906081"] ; National Key Research and Development Program of China[2022YFB2403803]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000938057800002
出版者	SPRINGER HEIDELBERG
来源库	Web of Science
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/502115
专题	工学院_计算机科学与工程系
作者单位	1.Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, Wuhan 430074, Peoples R China 2.Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automation, Wuhan 430074, Peoples R China 3.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Guangdong Prov Key Lab Brain inspired Intelligent, Shenzhen 518055, Peoples R China 4.Bielefeld Univ, Chair Nat Inspired Comp & Engn, D-33615 Bielefeld, Germany
通讯作者单位	计算机科学与工程系
推荐引用方式 GB/T 7714	He, Cheng,Li, Lianghao,Cheng, Ran,et al. Evolutionary multiobjective optimization via efficient sampling-based offspring generation[J]. Complex & Intelligent Systems,2023,9(5).
APA	He, Cheng,Li, Lianghao,Cheng, Ran,&Jin, Yaochu.(2023).Evolutionary multiobjective optimization via efficient sampling-based offspring generation.Complex & Intelligent Systems,9(5).
MLA	He, Cheng,et al."Evolutionary multiobjective optimization via efficient sampling-based offspring generation".Complex & Intelligent Systems 9.5(2023).