1 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2024
Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions
Debdas Ghosh, Anshika, Jen-Chih Yao +1
In this article, we propose a quasi-Newton method for unconstrained set optimization problems to find its weakly minimal solutions with respect to lower set-less ordering. The set-…
math.OC2024★ 1 cited
Generalized Ordered Weighted Aggregation Robustness to Solve Uncertain Single Objective Optimization Problems
Nand Kishor, Debdas Ghosh, Xiaopeng Zhao
Robust optimization aims to find optimum points from the collection of points that are feasible for every possible scenario of a given uncertain set. An optimum solution to a robus…
math.OC2024★ 1 cited
Newton Method for Set Optimization Problems with Set-Valued Mapping of Finitely Many Vector-Valued Functions
Debdas Ghosh, Anshika, Qamrul Hasan Ansari +1
In this paper, we propose a Newton method for unconstrained set optimization problems to find its weakly minimal solutions with respect to lower set-less ordering. The objective fu…