Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{rodriguez-vazquez:its,
-
author = "Katya Rodriguez-Vazquez and Carlos M. Fonseca and
Peter J. Fleming",
-
title = "Identifying the structure of nonlinear dynamic systems
using multiobjective genetic programming",
-
journal = "IEEE Transactions on Systems, Man and Cybernetics,
Part A",
-
volume = "34",
-
number = "4",
-
month = jul,
-
year = "2004",
-
pages = "531--545",
-
keywords = "genetic algorithms, genetic programming,
identification, mathematical programming, nonlinear
systems, polynomials evolutionary algorithm,
multiobjective genetic programming, nonlinear dynamic
systems, nonlinear polynomial dynamic, system
identification",
-
ISSN = "1083-4427",
-
DOI = "doi:10.1109/TSMCA.2004.826299",
-
abstract = "A method for identifying the structure of nonlinear
polynomial dynamic models is presented. This approach
uses an evolutionary algorithm, genetic programming, in
a multiobjective fashion to generate global models
which describe the dynamic behaviour of the nonlinear
system under investigation. The validation stage of
system identification is simultaneously evaluated using
the multiobjective tool, in order to direct the
identification process to a set of global models of the
system.",
- }
Genetic Programming entries for
Katya Rodriguez-Vazquez
Carlos M Fonseca
Peter J Fleming
Citations