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A saddle point characterization of efficient solutions for interval optimization problems

dc.contributor.authorGhosh D.; Ghosh D.; Bhuiya S.K.; Patra L.K.
dc.date.accessioned2025-05-24T09:32:14Z
dc.description.abstractIn this article, we attempt to characterize efficient solutions of constrained interval optimization problems. Towards this aim, at first, we study a scalarization characterization to capture efficient solutions. Then, with the help of saddle point of a newly introduced Lagrangian function, we investigate efficient solutions of an interval optimization problem. Several parts of the results are supported with numerical and pictorial illustration. © 2017, Korean Society for Computational and Applied Mathematics.
dc.identifier.doihttps://doi.org/10.1007/s12190-017-1140-1
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/17885
dc.relation.ispartofseriesJournal of Applied Mathematics and Computing
dc.titleA saddle point characterization of efficient solutions for interval optimization problems

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