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Multiobjective optimization with least constraint violation: optimality conditions and exact penalization
Chen, Jiawei1; Dai, Yu-Hong2,3
2022-04-15
Source PublicationJOURNAL OF GLOBAL OPTIMIZATION
ISSN0925-5001
Pages24
AbstractAlthough multiobjective optimization problem (MOP) is useful for solving many practical optimization problems, it is possible that the constraints are inconsistent. In this paper, we reformulate MOP with possible inconsistent constraints into MOP with least constraint violation and provide necessary optimality conditions from the perspective of M-stationary point, Fritz-John stationary point and L-stationary point. A power penalty problem is proposed by using infeasibility measure of constraints. The calmness conditions of order l of the MOP with least constraint violation and the local exact penalization of order l of the power penalty problem are respectively introduced, which do not require the feasibility of the original MOP. We obtain the equivalence between the calmness of order l of the MOP with least constraint violation and the local exact penalization of order l of the power penalty problem. Necessary and sufficient conditions for calmness of order l are also established under suitable conditions.
KeywordMultiobjective optimization with least constraint violation Optimality conditions Exact penalization Calmness Infeasibility condition
DOI10.1007/s10898-022-01158-8
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[12021001] ; National Natural Science Foundation of China[11991020] ; National Natural Science Foundation of China[11991021] ; National Natural Science Foundation of China[11631013] ; National Natural Science Foundation of China[11971372] ; Natural Science Foundation of Chongqing[cstc2021jcyj-msxmX0925] ; Youth Top Talent Program of Chongqing Talents ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27000000]
WOS Research AreaOperations Research & Management Science ; Mathematics
WOS SubjectOperations Research & Management Science ; Mathematics, Applied
WOS IDWOS:000782732700001
PublisherSPRINGER
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/60350
Collection中国科学院数学与系统科学研究院
Corresponding AuthorDai, Yu-Hong
Affiliation1.Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Chen, Jiawei,Dai, Yu-Hong. Multiobjective optimization with least constraint violation: optimality conditions and exact penalization[J]. JOURNAL OF GLOBAL OPTIMIZATION,2022:24.
APA Chen, Jiawei,&Dai, Yu-Hong.(2022).Multiobjective optimization with least constraint violation: optimality conditions and exact penalization.JOURNAL OF GLOBAL OPTIMIZATION,24.
MLA Chen, Jiawei,et al."Multiobjective optimization with least constraint violation: optimality conditions and exact penalization".JOURNAL OF GLOBAL OPTIMIZATION (2022):24.
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