AbstractUsing the theory of abstract optimization problems in infinite-dimensional spaces we provide necessary optimality conditions of first and second order for weakly efficient solutions of the multi-objective infinite programming problem. Sufficient conditions are given under invexity assumptions. We generalize the notion of KKT-invexity for the multi-objective infinite problem and show that this notion is a necessary and sufficient condition for every vector KKT solution to be a weakly efficient solution. Moreover, we develop a theorem of the alternative, useful for proving some of our results
New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) ...
In [D.H. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1985) 65-76] Martin introduced ...
The main idea of this article is to characterize approximate proper efficiency that is a widely used...
Using the theory of abstract optimization problems in infinite-dimensional spaces we provide necessa...
AbstractUsing the theory of abstract optimization problems in infinite-dimensional spaces we provide...
The paper deals with the minimization problem of a marginal function over a subset C of a space X. U...
vector optimization problem. Abstract. In this paper, the concept of preconvexlike functions is intr...
We introduce some concepts of generalized invexity for the continuous-time multiobjective programmin...
In this paper we apply some tools of nonsmooth analysis and scalarization method due to Chankong–Hai...
Abstract In this work, several extended approximately invex vector-valued functions of higher order ...
In this paper we move forward in the study of duality and efficiency in multiobjective variational p...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimizati...
We consider unconstrained finite dimensional multi-criteria optimization problems, where the objecti...
AbstractIn [D.H. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1985) 65–76] Martin int...
New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) ...
In [D.H. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1985) 65-76] Martin introduced ...
The main idea of this article is to characterize approximate proper efficiency that is a widely used...
Using the theory of abstract optimization problems in infinite-dimensional spaces we provide necessa...
AbstractUsing the theory of abstract optimization problems in infinite-dimensional spaces we provide...
The paper deals with the minimization problem of a marginal function over a subset C of a space X. U...
vector optimization problem. Abstract. In this paper, the concept of preconvexlike functions is intr...
We introduce some concepts of generalized invexity for the continuous-time multiobjective programmin...
In this paper we apply some tools of nonsmooth analysis and scalarization method due to Chankong–Hai...
Abstract In this work, several extended approximately invex vector-valued functions of higher order ...
In this paper we move forward in the study of duality and efficiency in multiobjective variational p...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimizati...
We consider unconstrained finite dimensional multi-criteria optimization problems, where the objecti...
AbstractIn [D.H. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1985) 65–76] Martin int...
New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) ...
In [D.H. Martin, The essence of invexity, J. Optim. Theory Appl. 47 (1985) 65-76] Martin introduced ...
The main idea of this article is to characterize approximate proper efficiency that is a widely used...