Characterizations and Generating Efficient Solutions to Interval Optimization Problems
| dc.contributor.author | Debnath A.K.; Ghosh D. | |
| dc.date.accessioned | 2025-05-23T11:26:33Z | |
| dc.description.abstract | In 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.doi | https://doi.org/10.1007/978-981-16-1819-2_7 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/10440 | |
| dc.relation.ispartofseries | Springer Proceedings in Mathematics and Statistics | |
| dc.title | Characterizations and Generating Efficient Solutions to Interval Optimization Problems |