A Survey of Probabilistic Model Building Genetic
Programming
ALAR Technical Report Series, TR-ALAR-200510014. The Artificial Life and Adaptive Robotics Laboratory, School of Information Technology and Electrical
Engineering University of New South Wales Northcott
Drive, Campbell, Canberra, ACT 2600 Australia, (2005)Abstract
There has been a surge of research interest in
Estimation of Distribution Algorithms (EDA). Several
reviews on current work in conventional EDA are
available. Although most work has focused on one
dimensional representations that resembles the
chromosomes of Genetic Algorithms (GA), an interesting
stream of EDA using more complex tree representations
has recently received some attention. To date, there
has been no general review of this area in the current
literature. This chapter aims to provide a critical and
comprehensive review of EDA with tree representation,
and closely related fields