Evolution of mathematical models of chaotic systems based on multiobjective genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Evolution of mathematical models of chaotic systems
                 based on multiobjective genetic programming",
  author =       "Katya Rodriguez-Vazquez and Peter J. Fleming",
  journal =      "Knowledge and Information Systems",
  year =         "2005",
  number =       "2",
  volume =       "8",
  pages =        "235--256",
  month =        aug,
  bibdate =      "2005-11-17",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming, Chaotic
                 dynamic systems, Multi-objective optimisation, System
  ISSN =         "0219-1377",
  DOI =          "doi:10.1007/s10115-004-0184-3",
  abstract =     "dentification of models for nonlinear dynamical
                 systems using multiobjective evolutionary algorithms.
                 Systems modelling involves the processes of structure
                 selection, parameter estimation, model performance and
                 model validation and involves a complex solution space.
                 Evolutionary Algorithms (EAs) are search and
                 optimisation tools founded on the principles of natural
                 evolution and genetics, which are suitable for a wide
                 range of application areas. Due to the versatility of
                 these tools and motivated by the versatility of genetic
                 programming (GP), this evolutionary paradigm is
                 proposed for this modelling problem. GP is then
                 combined with a multiobjective function definition
                 scheme. Multi objective genetic programming (MOGP) is
                 applied to multiple, conflicting objectives and yields
                 a set of candidate parsimonious and valid models, which
                 reproduce the original system behaviour. The MOGP
                 approach is then demonstrated as being applicable for
                 system modelling with chaotic dynamics. The circuit
                 introduced by Chua, being one of the most popular
                 benchmarks for studying nonlinear oscillations, and the
                 Duffing-Holmes oscillator are the systems to test the
                 evolutionary-based modelling",

Genetic Programming entries for Katya Rodriguez-Vazquez Peter J Fleming