Lagrangian duality in set optimization with an application to robust multiobjective optimization: dual best equals primal wors
Nonlinearly constrained optimization problems can be solved by minimizing a sequence of simpler unco...
In this paper, we establish approximate Lagrangian multiplier rule, Lagrangian duality and saddle po...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
AbstractThis paper is devoted to developing augmented Lagrangian duality theory in vector optimizati...
We establish a relationship between the robust counterpart of an uncertain cone-convex vector proble...
Abstract. The paper deals with vector constrained extremum problems. A separation scheme is recalled...
Nonlinearly constrained optimization problems may be solved by minimizing a sequence of simpler subp...
Abstract. In this paper, Mond-Weir type duality results for a uncertain multiobjective robust optimi...
We propose four different duality problems for a vector optimization program with a set constraint, ...
We recall a general scheme for vector problems based on separation arguments and alternative theore...
For constrained primal infimization problems, we give a characterization of the Lagrangian dual obje...
Using a set-valued dual cost function we give a new approach to duality theory for linear vector opt...
This book presents fundamentals and comprehensive results regarding duality for scalar, vector and s...
This article provides results guarateeing that the optimal value of a given convex infinite optimiza...
Abstract In this article, we construct a Fenchel-Lagrangian ε-dual problem for set-valued opti-mizat...
Nonlinearly constrained optimization problems can be solved by minimizing a sequence of simpler unco...
In this paper, we establish approximate Lagrangian multiplier rule, Lagrangian duality and saddle po...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
AbstractThis paper is devoted to developing augmented Lagrangian duality theory in vector optimizati...
We establish a relationship between the robust counterpart of an uncertain cone-convex vector proble...
Abstract. The paper deals with vector constrained extremum problems. A separation scheme is recalled...
Nonlinearly constrained optimization problems may be solved by minimizing a sequence of simpler subp...
Abstract. In this paper, Mond-Weir type duality results for a uncertain multiobjective robust optimi...
We propose four different duality problems for a vector optimization program with a set constraint, ...
We recall a general scheme for vector problems based on separation arguments and alternative theore...
For constrained primal infimization problems, we give a characterization of the Lagrangian dual obje...
Using a set-valued dual cost function we give a new approach to duality theory for linear vector opt...
This book presents fundamentals and comprehensive results regarding duality for scalar, vector and s...
This article provides results guarateeing that the optimal value of a given convex infinite optimiza...
Abstract In this article, we construct a Fenchel-Lagrangian ε-dual problem for set-valued opti-mizat...
Nonlinearly constrained optimization problems can be solved by minimizing a sequence of simpler unco...
In this paper, we establish approximate Lagrangian multiplier rule, Lagrangian duality and saddle po...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
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