A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization

doi:10.3390/e25010013

	A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization
	Geng, Huantong 1,2; Zhou, Zhengli 1; Shen, Junye 1; Song, Feifei 1
	2023-01
发表期刊	ENTROPY
卷号	25 期号:1
摘要	The main challenge for constrained many-objective optimization problems (CMaOPs) is how to achieve a balance between feasible and infeasible solutions. Most of the existing constrained many-objective evolutionary algorithms (CMaOEAs) are feasibility-driven, neglecting the maintenance of population convergence and diversity when dealing with conflicting objectives and constraints. This might lead to the population being stuck at some locally optimal or locally feasible regions. To alleviate the above challenges, we proposed a dual-population-based NSGA-III, named DP-NSGA-III, where the two populations exchange information through the offspring. The main population based on the NSGA-III solves CMaOPs and the auxiliary populations with different environment selection ignore the constraints. In addition, we designed an epsilon-constraint handling method in combination with NSGA-III, aiming to exploit the excellent infeasible solutions in the main population. The proposed DP-NSGA-III is compared with four state-of-the-art CMaOEAs on a series of benchmark problems. The experimental results show that the proposed evolutionary algorithm is highly competitive in solving CMaOPs.
关键词	constrained many-objective optimization NONDOMINATED SORTING APPROACH evolutionary algorithm EVOLUTIONARY ALGORITHM dual-population MOEA/D coevolution epsilon-constraint handling
DOI	10.3390/e25010013
收录类别	SCIE
语种	英语
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:000918245300001
出版者	MDPI
原始文献类型	Article
EISSN	1099-4300
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.library.ouchn.edu.cn/handle/39V7QQFX/168600
专题	国家开放大学江苏分部
通讯作者	Geng, Huantong
作者单位	1.Nanjing Univ Informat Sci & Technol, Sch Comp Sci, Nanjing 210044, Peoples R China; 2.Jiangsu Open Univ, Sch Informat Technol, Nanjing 210036, Peoples R China
第一作者单位	国家开放大学江苏分部
通讯作者单位	国家开放大学江苏分部
推荐引用方式 GB/T 7714	Geng, Huantong,Zhou, Zhengli,Shen, Junye,et al. A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization[J]. ENTROPY,2023,25(1).
APA	Geng, Huantong,Zhou, Zhengli,Shen, Junye,&Song, Feifei.(2023).A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization.ENTROPY,25(1).
MLA	Geng, Huantong,et al."A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization".ENTROPY 25.1(2023).