A saddle point characterization of efficient solutions for interval optimization problems
| dc.contributor.author | Ghosh D.; Ghosh D.; Bhuiya S.K.; Patra L.K. | |
| dc.date.accessioned | 2025-05-24T09:32:14Z | |
| dc.description.abstract | In 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.doi | https://doi.org/10.1007/s12190-017-1140-1 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/17885 | |
| dc.relation.ispartofseries | Journal of Applied Mathematics and Computing | |
| dc.title | A saddle point characterization of efficient solutions for interval optimization problems |