南方科技大学知识苑(SUSTech KC): Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm

题名	Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm
作者	Zhenkun Wang1,2 ; Kangnian Lin1 ; Genghui Li 3; Weifeng Gao 4
发表日期	2024
DOI	10.1109/TEVC.2024.3403414
发表期刊	IEEE Transactions on Evolutionary Computation 影响因子和分区
ISSN	1941-0026
卷号	PP 期号:99
摘要	The hardly dominated boundary (HDB) is commonly observed in multi-objective optimization problems (HDBMOPs). However, there are only a few benchmark problems related to HDB-MOPs in the evolutionary computation community, which is insufficient to validate the performance of multi-objective evolutionary algorithms (MOEAs). In this paper, we first introduce a new set of HDB-MOPs characterized by various shapes of Pareto fronts and scalable HDB sizes. We then systematically analyze the capabilities of several representative existing MOEAs in handling HDB-MOPs and reveal their strengths and weaknesses in solving this type of problem. Finally, based on this insightful analysis, we propose an indicator-based MOEA with an adaptive reference point to effectively address HDB-MOPs. The source codes of the proposed benchmark problems and the IMOEAARP algorithm are available from https://github.com/CIAMGroup/ EvolutionaryAlgorithm Codes/tree/main/IMOEA-ARP.
相关链接	[IEEE记录]
收录类别	EI
学校署名	第一
ESI学科分类	COMPUTER SCIENCE
引用统计
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/778505
专题	工学院_系统设计与智能制造学院工学院_计算机科学与工程系
作者单位	1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, P.R. China 2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, P.R. China 3.College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, P.R. China 4.School of Mathematics and Statistics, Xidian University, Xi’an, China
第一作者单位	系统设计与智能制造学院; 计算机科学与工程系
第一作者的第一单位	系统设计与智能制造学院
推荐引用方式 GB/T 7714	Zhenkun Wang,Kangnian Lin,Genghui Li,et al. Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm[J]. IEEE Transactions on Evolutionary Computation,2024,PP(99).
APA	Zhenkun Wang,Kangnian Lin,Genghui Li,&Weifeng Gao.(2024).Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm.IEEE Transactions on Evolutionary Computation,PP(99).
MLA	Zhenkun Wang,et al."Multi-Objective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm".IEEE Transactions on Evolutionary Computation PP.99(2024).