- title = "A Study of GP's Division Operators for Symbolic Regression",
- author = "Matej Sprogar",
- booktitle = "Seventh International Conference on Machine Learning and Applications, ICMLA '08",
- year = "2008",
- month = "11-13 " # dec,
- pages = "286--291",
- address = "La Jolla, San Diego, USA",
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, symbol manipulation division operators, symbolic regression",
-
DOI = "
doi:10.1109/ICMLA.2008.84",
- size = "6 pages",
- 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.",
-
notes = "Open Beagle (not as lilGP ?). 4 types of division on
binomial-3 problem (x+1)**3
\cite{daida:1999:MSWMPGATDPGP}. Program sizes. Cited by
\cite{Ni:2012:ieeeTEC}.
Also known as \cite{4724988}",
