Title :
A Study of GP´s Division Operators for Symbolic Regression
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Univ. of Maribor, Maribor, Slovenia
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;
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
DOI :
10.1109/ICMLA.2008.84
