The purpose of this paper is to analyze the convergence of interval-type algorithms for solving the generalized fractional program. They are characterized by an interval [LBk, UBk] including A*, and the length of the interval is reduced at each iteration. A closer analysis of the bounds LBk and UBk allows to modify slightly the best known interval-type algorithm NEWMODM accordingly to prove its convergence and derive convergence rates similar to those for a Dinkelbach-type algorithm MAXMODM under the same conditions. Numerical results in the linear case indicate that the modifications to get convergence r sults are not obtained at the expense of the numerical efficiency since the modified version BFII is as efficient as NEWMODM and more eff...
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
Approximate solutions, Continuous-time linear fractional programming problems, Dinkelbach-type algor...
In this paper, a deterministic global optimization algorithm is proposed for solving min-max and max...
We analyze the convergence of the prox-regularization algorithms introduced in [1], to solve general...
In many decision problems, criteria that can be expressed as ratios occur. The corresponding optimiz...
The novelty of this chapter is the design of suitable algorithms for solving equations on Banach spa...
AbstractThree particular algorithms from a class of interval subdivision methods for global optimiza...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
Abstract This article presents a new approximation algorithm for globally solving a class of general...
In this paper, we consider the min–max linear fractional programming problem (MLFP) which is NP-hard...
The main purpose of this paper is to delineate an algorithm for fractional programming with nonlinea...
textabstractSingle-ratio and multi-ratio fractional programs in applications are often generalized c...
The main aim of the paper is to develop suitable algorithms for solving equations on Banach spaces. ...
The main aim of the paper is to develop suitable algorithms for solving equations on Banach spaces. ...
Abstract. An algorithm is suggested that finds the constrained minimum of the maximum of finitely ma...
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
Approximate solutions, Continuous-time linear fractional programming problems, Dinkelbach-type algor...
In this paper, a deterministic global optimization algorithm is proposed for solving min-max and max...
We analyze the convergence of the prox-regularization algorithms introduced in [1], to solve general...
In many decision problems, criteria that can be expressed as ratios occur. The corresponding optimiz...
The novelty of this chapter is the design of suitable algorithms for solving equations on Banach spa...
AbstractThree particular algorithms from a class of interval subdivision methods for global optimiza...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
Abstract This article presents a new approximation algorithm for globally solving a class of general...
In this paper, we consider the min–max linear fractional programming problem (MLFP) which is NP-hard...
The main purpose of this paper is to delineate an algorithm for fractional programming with nonlinea...
textabstractSingle-ratio and multi-ratio fractional programs in applications are often generalized c...
The main aim of the paper is to develop suitable algorithms for solving equations on Banach spaces. ...
The main aim of the paper is to develop suitable algorithms for solving equations on Banach spaces. ...
Abstract. An algorithm is suggested that finds the constrained minimum of the maximum of finitely ma...
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
Approximate solutions, Continuous-time linear fractional programming problems, Dinkelbach-type algor...
In this paper, a deterministic global optimization algorithm is proposed for solving min-max and max...