Created by W.Langdon from gp-bibliography.bib Revision:1.1944
@Article{cao:2000:odeGP,
author = "Hongqing Cao and Lishan Kang and Yuping Chen and
Jingxian Yu",
title = "Evolutionary Modeling of Systems of Ordinary
Differential Equations with Genetic Programming",
journal = "Genetic Programming and Evolvable Machines",
year = "2000",
volume = "1",
number = "4",
pages = "309--337",
month = oct,
keywords = "genetic algorithms, genetic programming, evolutionary
modeling, system of ordinary differential equations,
higher-order ordinary differential equation",
ISSN = "1389-2576",
URL = "
http://www.ees.adelaide.edu.au/people/enviro/cao/2000-05.pdf",
doi = "
doi:10.1023/A:1010013106294",
size = "29 pages",
abstract = "This paper describes an approach to the evolutionary
modeling problem of ordinary differential equations
including systems of ordinary differential equations
and higher-order differential equations. Hybrid
evolutionary modeling algorithms are presented to
implement the automatic modeling of one- and
multi-dimensional dynamic systems respectively. The
main idea of the method is to embed a genetic algorithm
in genetic programming where the latter is employed to
discover and optimize the structure of a model, while
the former is employed to optimize its parameters. A
number of practical examples are used to demonstrate
the effectiveness of the approach. Experimental results
show that the algorithm has some advantages over most
available modeling methods.",
notes = "Article ID: 273810",
}
Genetic Programming entries for Hong-Qing Cao Li-Shan Kang Yu-Ping Chen Jingxian Yu