Aplicación de la búsqueda tabú en regresión no lineal

We implement the combinatorial optimization technique known as tabu search inthe parameter estimation problem in a given non linear model. For the generationof neighbors, the implementation is based on a discretization of the parameter space,which is covered by a mesh. We present some comparative re...

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Autores Principales: Villalobos Arias, Mario, Trejos Zelaya, Javier, de los Cobos Silva, Sergio Gerardo
Formato: Artículo
Idioma: Español
Publicado: 2015
Acceso en línea: http://revistas.ucr.ac.cr/index.php/matematica/article/view/269
http://hdl.handle.net/10669/12916
Sumario: We implement the combinatorial optimization technique known as tabu search inthe parameter estimation problem in a given non linear model. For the generationof 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 simulateddata.Keywords: regression, parameter estimation, combinatorial optimization, local minima.