Aplicación de la búsqueda tabú en regresión no lineal

Abstract

We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is covered by a mesh. We present some comparative results on real or simulated data. Keywords: regression, parameter estimation, combinatorial optimization, local minima.