DocumentCode
2849634
Title
Prune and Plant: A New Bloat Control Method for Genetic Programming
Author
Alfaro-Cid, Eva ; Esparcia-Alcazar, A. ; Sharman, Ken ; de Vega, F.F. ; Merelo, J.J.
Author_Institution
Inst. Tecnol. de Inf., UPV, Valencia
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
31
Lastpage
35
Abstract
This paper reports a comparison of several bloat control methods and also evaluates a new proposal for limiting the size of the individuals: a genetic operator called prune and plant. The aim of this work is to prove the adequacy of this new method. Since a preliminary study of the method has already shown promising results, we have performed a thorough study in a set of benchmark problems aiming at demonstrating the utility of the new approach. Prune and plant has obtained results that maintain the quality of the final solutions in terms of fitness while achieving a substantial reduction of the mean tree size in all four problem domains considered. In addition, in one of these problem domains prune and plant has demonstrated to be better in terms of fitness, size reduction and time consumption than any of the other bloat control techniques under comparison.
Keywords
genetic algorithms; mathematical operators; trees (mathematics); bloat control method; genetic operator; genetic programming; prune and plant; time consumption; tree size reduction; Control systems; Evolutionary computation; Genetic mutations; Genetic programming; Hybrid intelligent systems; Predictive models; Pressure control; Proposals; Size control;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
Conference_Location
Barcelona
Print_ISBN
978-0-7695-3326-1
Electronic_ISBN
978-0-7695-3326-1
Type
conf
DOI
10.1109/HIS.2008.127
Filename
4626601
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