Applied Genetic Programming and Machine Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Hitoshi Iba and Yoshihiko Hasegawa and 
                 Topon Kumar Paul",
  title =        "Applied Genetic Programming and Machine Learning",
  publisher =    "CRC",
  year =         "2009",
  series =       "CRC Complex and Enterprise Systems Engineering",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4398-0369-2",
  URL =          "",
  abstract =     "Reflecting rapidly developing concepts and newly
                 emerging paradigms in intelligent machines, this text
                 is the first to integrate genetic programming and
                 machine learning techniques to solve diverse real-world
                 tasks.These tasks include financial data prediction,
                 day-trading rule development; and bio-marker selection.
                 Written by a leading authority, this text will teach
                 readers how to use machine learning techniques, make
                 learning operators that efficiently sample a search
                 space, navigate the search process through the design
                 of objective fitness functions, and examine the search
                 performance of the evolutionary system. All source
                 codes and GUIs are available for download from the
                 author's website.",
  notes =        "Book reviews in \cite{Veeramachaneni:2011:GPEM}

                 Introduction. Evolutionary computation. Genetic
                 Programming. Hybrid Genetic Programming and GMDH
                 System. Principles of STROGANOFF. Classification by
                 Ensemble of Genetic Programming Rules. Probabilistic
                 Program Evolution with Estimation of Distribution.
                 Other Related Methods. Discussion. Conclusion. Appendix
                 A: STROGANOFF system overviews. Appendix B: MVGPC
                 system overviews.",
  size =         "349 pages",

Genetic Programming entries for Hitoshi Iba Yoshihiko Hasegawa Topon Kumar Paul