Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "William B. Langdon and Riccardo Poli and 
                 Nicholas F. McPhee and John R. Koza",
  title =        "Genetic Programming: An Introduction and Tutorial,
                 with a Survey of techniques and Applications",
  booktitle =    "Computational Intelligence: A Compendium",
  publisher =    "Springer-Verlag",
  year =         "2008",
  editor =       "John Fulcher and Lakhmi C. Jain",
  volume =       "115",
  series =       "Studies in Computational Intelligence (SCI)",
  chapter =      "22",
  pages =        "927--1028",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-78292-6",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-78293-3_22",
  abstract =     "This chapter introduces genetic programming (GP) a set
                 of evolutionary computation techniques for getting
                 computers to automatically solve problems without
                 having to tell them explicitly how to do it. Since its
                 inception, GP has been used to solve many practical
                 problems, producing a number of human competitive
                 results and even patentable new inventions. We start
                 with a gentle introduction to the basic representation,
                 initialisation and operators used in GP, complemented
                 by a step by step description of their use for the
                 solution of an illustrative problem. We then progress
                 to discuss a variety of alternative representations for
                 programs and more advance specialisations of GP. A
                 multiplicity of real-world applications of GP are then
                 presented to illustrate the scope of the technique. For
                 the benefits of more advanced readers, this is followed
                 by a series of recommendations and suggestions to
                 obtain the most from a GP system. Although the chapter
                 has been written with beginners and practitioners in
                 mind, for completeness we also provide an overview of
                 the theoretical results and models available to date
                 for GP. The chapter is concluded by an appendix which
                 provides a plethora of pointers to resources and
                 further reading.",
  notes =        "See \cite{ces475}",
  size =         "104 pages",

Genetic Programming entries for William B Langdon Riccardo Poli Nicholas Freitag McPhee John Koza