A Survey of Probabilistic Model Building Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Yin Shan and Robert McKay and Daryl Essam and 
                 Hussein Abbass",
  title =        "A Survey of Probabilistic Model Building Genetic
  institution =  "The Artificial Life and Adaptive Robotics Laboratory",
  year =         "2005",
  type =         "ALAR Technical Report Series",
  number =       "TR-ALAR-200510014",
  address =      "School of Information Technology and Electrical
                 Engineering University of New South Wales Northcott
                 Drive, Campbell, Canberra, ACT 2600 Australia",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.itee.adfa.edu.au/~alar/techreps/2005100014.pdf",
  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",
  notes =        "See also \cite{Shan:2006:SOPM}",
  size =         "27 pages",

Genetic Programming entries for Yin Shan R I (Bob) McKay Daryl Essam Hussein A Abbass