Optimality conditions in set-valued optimization using approximations as generalized derivatives
Abstract
The set criterion is an appropriate defining approach regarding the solutions for the set-valued optimization problems. By using approximations as generalized derivatives of set-valued mappings, we establish necessary optimality conditions for a constrained set-valued optimization problem in the sense of set optimization in terms of asymptotical pointwise compact approximations. Sufficient optimality conditions are then obtained through first-order strong approximations of data set-valued mappings.
Language: English
Page range: 425 - 444
Submitted on: May 1, 2021
Accepted on: Oct 1, 2022
Published on: Feb 24, 2024
Published by: Systems Research Institute Polish Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2024 Nazih Abderrazzak Gadhi, Aissam Ichatouhane, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.