DocumentCode :
1733552
Title :
Using a tree structured genetic algorithm to perform symbolic regression
Author :
McKay, Ben ; Willis, Mark J. ; Barton, Geoffrey W.
Author_Institution :
Sydney Univ., NSW, Australia
fYear :
1995
Firstpage :
487
Lastpage :
492
Abstract :
A tree structured genetic algorithm is described. The algorithm is used to generate nonlinear models from process input output data. Three examples are utilised to demonstrate the applicability of the technique within the domain of process engineering
Keywords :
genetic algorithms; statistical analysis; trees (mathematics); nonlinear models; process engineering; process input output data; symbolic regression; tree structured genetic algorithm;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)
Conference_Location :
Sheffield
Print_ISBN :
0-85296-650-4
Type :
conf
DOI :
10.1049/cp:19951096
Filename :
501943
Link To Document :
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