- author = "Katya Rodriguez-Vazquez and Peter J. Fleming",
- title = "Genetic Programming for Dynamic Chaotic Systems Modelling",
- booktitle = "Proceedings of the Congress on Evolutionary Computation",
- year = "1999",
- editor = "Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala",
- volume = "1",
- pages = "22--28",
- address = "Mayflower Hotel, Washington D.C., USA",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "6-9 " # jul,
- organisation = "Congress on Evolutionary Computation, IEEE / Neural Networks Council, Evolutionary Programming Society, Galesia, IEE",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, multi-objective optimization, Chua's circuit, NARMA difference equation model, complexity, difference equation model representation, double scroll attractor, dynamic chaotic systems modelling, dynamic characteristic, fitness evaluation, fitness function, genetic programming, hierarchical tree encoding, identification, multiobjective function, multiobjective optimisation problem, nondominated chaotic models, nondominated model solutions, performance, statistical validation, Chua's circuit, computational complexity, difference equations, evolutionary computation, identification, optimisation, time series",
- ISBN = "0-7803-5536-9 (softbound)",
- ISBN = "0-7803-5537-7 (Microfiche)",
-
DOI = "
doi:10.1109/CEC.1999.781903",
- abstract = "This work presents an investigation into the use of genetic programming (GP) applied to chaotic systems modelling. A difference equation model representation was proposed for being the basis of the hierarchical tree encoding in GP. Based upon the NARMA difference equation model and formulating the identification as a multiobjective optimisation problem, Chua's circuit was studied. The formulation of the GP fitness function, defined as a multiobjective function, generated a set of nondominated chaotic models. This approach considered criteria related to the complexity, performance and also statistical validation of the models in the fitness evaluation. The final set of non-dominated model solutions were able to capture the dynamic characteristics of the system and reproduce the chaotic motion of the double scroll attractor",
-
notes = "CEC-99 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
Library of Congress Number = 99-61143",
