A knee point-driven many-objective pigeon-inspired optimization algorithm

doi:10.1007/s40747-022-00706-9

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

	A knee point-driven many-objective pigeon-inspired optimization algorithm
	Zhao, Lihong 1; Ren, Yeqing 2; Zeng, Youqian 1; Cui, Zhihua 1; Zhang, Wensheng3
发表期刊	COMPLEX & INTELLIGENT SYSTEMS
ISSN	2199-4536
	2022-03-31
页码	23
通讯作者	Cui, Zhihua(cuizhihua@tyust.edu.cn)
摘要	The number of solutions obtained is too large to provide a set of solutions with good performance in the nearby area of the true Pareto front when problem-specific preferences are unavailable. Therefore, this paper proposes a knee point-driven many-objective pigeon-inspired optimization algorithm (KnMAPIO). An environmental selection strategy based on knee-oriented dominance is proposed to improve selection pressure and population diversity. In addition, a new velocity updating equation with Gaussian distribution, Cauchy distribution and Levy distribution is proposed in this paper to provide new search directions and reduce the possibility of falling into local optima. Two types of experiments are carried out in this paper: one is to compare the proposed method with four other algorithms on the knee-oriented benchmark PMOPs to verify the algorithm's performance in detecting the knee points and the knee region; another is to compare the proposed method with eight other state-of-the-art algorithms on the classic benchmark DTLZ and WFG. The results of both experiments verify the effectiveness of the proposed algorithm and the ability to approximate to the true Pareto front.
关键词	Knee point Knee-oriented dominance Many-objective optimization Pigeon-inspired algorithm Preference
DOI	10.1007/s40747-022-00706-9
关键词[WOS]	PARTICLE SWARM OPTIMIZATION ; MULTIOBJECTIVE EVOLUTIONARY ALGORITHM ; COLONY
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFC1604000] ; National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[61772478] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61961160707] ; National Natural Science Foundation of China[61976212] ; Key R&D program of Shanxi Province (High Technology)[201903D121119] ; Key R&D program of Shanxi Province (International Cooperation)[201903D421048] ; Key R&D program (international science and technology cooperation project) of Shanxi Province[201903D421003]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key R&D program of Shanxi Province (High Technology) ; Key R&D program of Shanxi Province (International Cooperation) ; Key R&D program (international science and technology cooperation project) of Shanxi Province
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000777366100002
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：4[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/173211/48272
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, Sch Comp Sci & Technol, Taiyuan, Peoples R China 2.Beijing Univ Posts & Telecommun, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Lihong,Ren, Yeqing,Zeng, Youqian,et al. A knee point-driven many-objective pigeon-inspired optimization algorithm[J]. COMPLEX & INTELLIGENT SYSTEMS,2022:23.
APA	Zhao, Lihong,Ren, Yeqing,Zeng, Youqian,Cui, Zhihua,&Zhang, Wensheng.(2022).A knee point-driven many-objective pigeon-inspired optimization algorithm.COMPLEX & INTELLIGENT SYSTEMS,23.
MLA	Zhao, Lihong,et al."A knee point-driven many-objective pigeon-inspired optimization algorithm".COMPLEX & INTELLIGENT SYSTEMS (2022):23.