A survey of probabilistic model building genetic programming

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. © Springer-Verlag Berlin Heidelberg 2006.