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SOME RESULTS ON THE MULTIOBJECTIVE OPTIMIZATION PROBLEM WITH CONVEX FUNCTIONS

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dc.contributor.authorCho, Sun Young-
dc.date.accessioned2025-03-27T00:30:13Z-
dc.date.available2025-03-27T00:30:13Z-
dc.date.issued2025-
dc.identifier.issn1345-4773-
dc.identifier.issn1880-5221-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/77561-
dc.description.abstractThe aim of this paper is to study a stochastic version of the mul-tiobjective optimization problems whose objectives are the expected values of convex and random functions based on a stochastic variational inequality. It is proved that solutions to the stochastic variational inequality is a Pareto optimization solution to the stochastic version of the multiobjective optimization. A subgradient-like algorithm is proposed to find solutions. The almost sure convergence is proved as well. © 2025 Yokohama Publications. All rights reserved.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherYokohama Publishers-
dc.titleSOME RESULTS ON THE MULTIOBJECTIVE OPTIMIZATION PROBLEM WITH CONVEX FUNCTIONS-
dc.typeArticle-
dc.publisher.location일본-
dc.identifier.scopusid2-s2.0-86000185774-
dc.identifier.wosid001472746000005-
dc.identifier.bibliographicCitationJournal of Nonlinear and Convex Analysis, v.26, no.3, pp 529 - 539-
dc.citation.titleJournal of Nonlinear and Convex Analysis-
dc.citation.volume26-
dc.citation.number3-
dc.citation.startPage529-
dc.citation.endPage539-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.relation.journalWebOfScienceCategoryMathematics-
dc.subject.keywordPlusVARIATIONAL-INEQUALITIES-
dc.subject.keywordPlusEXTRAGRADIENT METHODS-
dc.subject.keywordPlusPOINT-
dc.subject.keywordAuthorMultiobjective optimization-
dc.subject.keywordAuthorrandom functions-
dc.subject.keywordAuthorvariational analysis-
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