DocumentCode
2006651
Title
A Study of GP´s Division Operators for Symbolic Regression
Author
Sprogar, M.
Author_Institution
Fac. of Electr. Eng. & Comput. Sci., Univ. of Maribor, Maribor, Slovenia
fYear
2008
fDate
11-13 Dec. 2008
Firstpage
286
Lastpage
291
Abstract
Article explores three possible implementations of the division operator in genetic programming -- protected division, division throwing an exception and division returning an undefined result. The article proposes a simple classification scheme and discusses the subtle differences between operators. Results of a case study on the well known binomial-3 problem are presented. They suggest that the (most common) protected division returning 1 is not always the safest bet.
Keywords
genetic algorithms; symbol manipulation; division operators; genetic programming; symbolic regression; Application software; Computer science; Error correction; Genetic programming; Machine learning; Protection; division operator; genetic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-0-7695-3495-4
Type
conf
DOI
10.1109/ICMLA.2008.84
Filename
4724988
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