ISSN:
1573-7632
Keywords:
evolutionary modeling
;
genetic programming
;
genetic algorithm
;
system of ordinary differential equations
;
higher-order ordinary differential equation
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1010013106294
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