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Characterizations and Generating Efficient Solutions to Interval Optimization Problems

dc.contributor.authorDebnath A.K.; Ghosh D.
dc.date.accessioned2025-05-23T11:26:33Z
dc.description.abstractIn this study, we propose a method to obtain complete efficient solution sets of the optimization problems with interval-valued functions. The proposed method is based on the cone method for multiobjective optimization problems. Toward developing the method, a bi-objective characterization of efficient solutions to the problem under consideration is reported. In addition, we provide a saddle point characterization of efficient solutions to the problem with the help of a newly defined Lagrangian function. Finally, we provide an algorithmic implementation of the proposed method and support it with two numerical examples. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
dc.identifier.doihttps://doi.org/10.1007/978-981-16-1819-2_7
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/10440
dc.relation.ispartofseriesSpringer Proceedings in Mathematics and Statistics
dc.titleCharacterizations and Generating Efficient Solutions to Interval Optimization Problems

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