Neurodynamic Analysis for a Class of Nonlinear Fractional Programming

This paper presents neurodynamic method for solving a class of nonlinear fractional optimization problems with bounds constraints. The neurodynamic model have the following two properties. First, it is demonstrated that the set of optima to the problems coincides with the set of equilibria of the neurodynamic models which means the proposed model is complete then. Second, it is also shown that the model globally converges to an exact optimal solution for any starting point from the feasible region.