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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2832

Title: Reducing bloat in genetic programming
Authors: MONSIEURS, Patrick
FLERACKERS, Eddy
Issue Date: 2001
Publisher: SPRINGER-VERLAG BERLIN
Citation: Computational Intelligence. Theory and Applications. p. 471-478
Series/Report: LECTURE NOTES IN COMPUTER SCIENCE, 2206
Abstract: In this paper, several techniques will be presented to constrain the growth of solutions that are constructed by genetic programming. The most successful technique imposes a maximum size on the created individuals of the population that depends solely on the size of the best individual of the population. This method will be compared with other methods to reduce bloat, demonstrating that this method reduces bloat significantly better than the other methods.
Notes: Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium.Monsieurs, P, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium.patrick.monsieurs@luc.ac.be eddy.flerackers@luc.ac.be
URI: http://hdl.handle.net/1942/2832
DOI: 10.1007/3-540-45493-4_48
ISI #: 000237080600048
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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