The present paper is a continuation of [2] where we deal with the duality for a multiobjective fractional optimization problem. The basic idea in [2] consists in attaching an intermediate multiobjective convex optimization problem to the primal fractional problem, using an approach due to Dinkelbach ([6]), for which we construct then a dual problem expressed in terms of the conjugates of the functions involved. The weak, strong and converse duality statements for the intermediate problems allow us to give dual characterizations for the efficient solutions of the initial fractional problem. The aim of this paper is to compare the intermediate dual problem with other similar dual problems known from the literature. We completely establish the...
The aim of this work is to make some investigations concerning duality for multiobjective optimizati...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
Fractional program is an optimization of objective function in the form of rational function. If onl...
AbstractA class of multiobjective fractional programmings (MFP) are first formulated, where the invo...
In the article, a semi-infinite fractional optimization model having multiple objectives is first fo...
AbstractEgudo derived some duality theorems for Multi-objective programs using the concept of effici...
AbstractA class of multiobjective fractional variational problems is considered and duals are formul...
In this paper, a dual of a given linear fractional program is defined and the weak, direct and conve...
In this paper, a dual of a given linear fractional program is defined and the weak, direct and conve...
AbstractIn this paper we present a duality approach for a multiobjective fractional programming prob...
ABSTRACT. In this paper, we introduce generalized multiobjective fractional programming problem with...
ABSTRACT. In this paper, we introduce generalized multiobjective fractional programming problem with...
We establish duality results under generalized convexity assumptions for a multiobjective nonlinear ...
The problem dual to a multi-objective fractional programming problems is defined by using the concep...
AbstractDuality for multiobjective programming problems having pseudo-convex objective functions and...
The aim of this work is to make some investigations concerning duality for multiobjective optimizati...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
Fractional program is an optimization of objective function in the form of rational function. If onl...
AbstractA class of multiobjective fractional programmings (MFP) are first formulated, where the invo...
In the article, a semi-infinite fractional optimization model having multiple objectives is first fo...
AbstractEgudo derived some duality theorems for Multi-objective programs using the concept of effici...
AbstractA class of multiobjective fractional variational problems is considered and duals are formul...
In this paper, a dual of a given linear fractional program is defined and the weak, direct and conve...
In this paper, a dual of a given linear fractional program is defined and the weak, direct and conve...
AbstractIn this paper we present a duality approach for a multiobjective fractional programming prob...
ABSTRACT. In this paper, we introduce generalized multiobjective fractional programming problem with...
ABSTRACT. In this paper, we introduce generalized multiobjective fractional programming problem with...
We establish duality results under generalized convexity assumptions for a multiobjective nonlinear ...
The problem dual to a multi-objective fractional programming problems is defined by using the concep...
AbstractDuality for multiobjective programming problems having pseudo-convex objective functions and...
The aim of this work is to make some investigations concerning duality for multiobjective optimizati...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
Fractional program is an optimization of objective function in the form of rational function. If onl...