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.
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Abbreviations
- IVF:
-
Interval-valued function
- IOP:
-
Interval optimization problem
- ES:
-
Efficient solution
- NS:
-
Nondominated solution
- POS:
-
Pareto optimal solution
- SP:
-
Saddle point
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Acknowledgements
The authors extend a sincere thanks to the reviewers for their valuable comments. Financial support through Early Career Research Award (ECR/2015/000467), Science and Engineering Research Board, Government of India, is gratefully acknowledged.
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Debnath, A.K., Ghosh, D. (2021). Characterizations and Generating Efficient Solutions to Interval Optimization Problems. In: Laha, V., Maréchal, P., Mishra, S.K. (eds) Optimization, Variational Analysis and Applications. IFSOVAA 2020. Springer Proceedings in Mathematics & Statistics, vol 355. Springer, Singapore. https://doi.org/10.1007/978-981-16-1819-2_7
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