most citedA Steepest Descent Method for Set Optimization Problems with Set-Valued Mappings of Finite Cardinality

19 citations · 39 across the 7 of their papers we have counts for

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7 papers

math.OC2021

A new view on risk measures associated with acceptance sets

Marcel Marohn, Christiane Tammer

In this paper, we study properties of certain risk measures associated with acceptance sets. These sets describe regulatory preconditions that have to be fulfilled by financial ins…

math.OC20214 cited

The Fermat Rule for Set Optimization Problems with Lipschitzian Set-Valued Mappings

Gemayqzel Bouza, Ernest Quintana, Christiane Tammer +1

In this paper, we consider set optimization problems where the solution concept is given by the set approach. Specifically, we deal with the lower less and the upper less set relat…

math.OC202119 cited

A Steepest Descent Method for Set Optimization Problems with Set-Valued Mappings of Finite Cardinality

Gemayqzel Bouza, Ernest Quintana, Christiane Tammer

In this paper, we study a first order solution method for a particular class of set optimization problems where the solution concept is given by the set approach. We consider the c…

math.OC202114 cited

A Unified Characterization of Nonlinear Scalarizing Functionals in Optimization

Gemayqzel Bouza, Ernest Quintana, Christiane Tammer

Over the years, several classes of scalarization techniques in optimization have been introduced and employed in deriving separation theorems, optimality conditions and algorithms.…

math.FA2021

On Clarke's Subdifferential of Marginal Functions

Gemayqzel Bouza, Ernest Quintana, Christiane Tammer

In this short note, we derive an upper estimate of Clarke's subdifferential of marginal functions in Banach spaces. The structure of the upper estimate is very similar to other res…

cs.AI20212 cited

What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization

Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe +1

The difficulty of solving a multi-objective optimization problem is impacted by the number of objectives to be optimized. The presence of many objectives typically introduces a num…