CONVERGENCE RATE OF GRADIENT DESCENT METHOD FOR MULTI-OBJECTIVE OPTIMIZATION
Zeng, Liaoyuan1; Dai, Yuhong1; Huang, Yakui2
刊名JOURNAL OF COMPUTATIONAL MATHEMATICS
2019
卷号37期号:5页码:689-703
关键词Multi-objective optimization Gradient descent Convergence rate
ISSN号0254-9409
DOI10.4208/jcm.1808-m2017-0214
英文摘要The convergence rate of the gradient descent method is considered for unconstrained multi-objective optimization problems (MOP). Under standard assumptions, we prove that the gradient descent method with constant stepsizes converges sublinearly when the objective functions are convex and the convergence rate can be strengthened to be linear if the objective functions are strongly convex. The results are also extended to the gradient descent method with the Armijo line search. Hence, we see that the gradient descent method for MOP enjoys the same convergence properties as those for scalar optimization.
资助项目Chinese Natural Science Foundation[11631013] ; Chinese Natural Science Foundation[11971372] ; National 973 Program of China[2015CB856002]
WOS研究方向Mathematics
语种英语
出版者GLOBAL SCIENCE PRESS
WOS记录号WOS:000504737600006
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50442]  
专题中国科学院数学与系统科学研究院
通讯作者Dai, Yuhong
作者单位1.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Hebei Univ Technol, Sch Sci, Tianjin 300401, Peoples R China
推荐引用方式
GB/T 7714
Zeng, Liaoyuan,Dai, Yuhong,Huang, Yakui. CONVERGENCE RATE OF GRADIENT DESCENT METHOD FOR MULTI-OBJECTIVE OPTIMIZATION[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2019,37(5):689-703.
APA Zeng, Liaoyuan,Dai, Yuhong,&Huang, Yakui.(2019).CONVERGENCE RATE OF GRADIENT DESCENT METHOD FOR MULTI-OBJECTIVE OPTIMIZATION.JOURNAL OF COMPUTATIONAL MATHEMATICS,37(5),689-703.
MLA Zeng, Liaoyuan,et al."CONVERGENCE RATE OF GRADIENT DESCENT METHOD FOR MULTI-OBJECTIVE OPTIMIZATION".JOURNAL OF COMPUTATIONAL MATHEMATICS 37.5(2019):689-703.
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