1 citations · 2 across the 11 of their papers we have counts for
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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-…
Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Mappings of Finite Cardinality
Debdas Ghosh, Ravi Raushan, Zai-Yun Peng +1
This article presents nonlinear conjugate gradient methods for finding local weakly minimal points of set-valued optimization problems under a lower set less ordering relation. The…
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…
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…
Second-Order Strong Optimality and Second-Order Duality for Nonsmooth Constrained Multiobjective Fractional Programming Problems
Jiawei Chen, Luyu Liu, Yibing Lv +2
This paper investigates constrained nonsmooth multiobjective fractional programming problem (NMFP) in real Banach spaces. It derives a quotient calculus rule for computing the firs…