- 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.",
