GA-P based search of structures and parameters of dynamical process models

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Lopez:2002:WSC,
  author =       "Antonio M. Lopez and Hilario Lopez and 
                 Luciano Sanchez",
  title =        "GA-P based search of structures and parameters of
                 dynamical process models",
  booktitle =    "Advances in Soft Computing - Engineering, Design and
                 Manufacturing",
  year =         "2003",
  editor =       "Jose Benitez and Oscar Cordon and Frank Hoffmann and 
                 Rajkumar Roy",
  pages =        "371--380",
  address =      "London",
  month =        sep # " 23 - " # oct # " 4",
  publisher =    "Springer",
  note =         "on line",
  keywords =     "genetic algorithms, genetic programming, GA-P
                 algorithms, System Identification, Hierarchical
                 models",
  URL =          "http://www.di.uniovi.es/~luciano/articulos/alopez_wsc7.pdf",
  size =         "10 pages",
  abstract =     "The most effective approaches for evolutionary
                 identifying dynamical processes depend on iterative
                 trial-error searches in a hierarchical fashion: a new
                 structure is proposed first; then, its set of
                 parameters is numerically determined, and the process
                 is repeated until a model accurate enough is
                 found.

                 Canonical Genetic Programming has been used to automate
                 this search; but its output can be diffcult to
                 interpret. Because of this reason, the use of
                 hierarchical learning methods, that combine GP search
                 of structures with deterministic optimisation
                 algorithms, has been proposed. We will show in this
                 paper that the output of such methods can be further
                 improved with non hierarchical algorithms. In
                 particular, we will show that the use of GA-P improves
                 the interpretability of the models and does a better
                 model search than previous approaches.",
  notes =        "WSC7 http://wsc7.ugr.es Workshop in 2002 but published
                 by Springer in October 2003.

                 Fig. 2. SMOG evolution. Canonical GP is used for
                 structural search and Hooke-Jeeves method is used for
                 parameter tuning. Modeling direct electrical current
                 motor.",
}

Genetic Programming entries for Antonio Miguel Lopez Rodriguez Hilario Lopez Garcia Luciano Sanchez

Citations