In this talk we deal with infeasible instances of linearly constrained problems.
We propose an algorithm to repair infeasibility and we illustrate its performance on some portfolio selection problems. Given an infeasible instance the method determines how much the right hand side coefficients must be perturbed in order to attain feasibility.
© 2008-2024 Fundación Dialnet · Todos los derechos reservados