Genetic programming: a tutorial introduction

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Una-May O'Reilly",
  title =        "Genetic programming: a tutorial introduction",
  booktitle =    "GECCO 2014 Introductory tutorials",
  year =         "2014",
  editor =       "Mengjie Zhang",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "227--250",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "",
  DOI =          "doi:10.1145/2598394.2605336",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Genetic programming emerged in the early 1990's as one
                 of the most exciting new evolutionary algorithm
                 paradigms. It has rapidly grown into a thriving area of
                 research and application. While sharing the
                 evolutionary inspired algorithm principles of a genetic
                 algorithm, it differs by exploiting an executable
                 genome. Genetic programming evolves a 'program' to
                 solve a problem rather than a single solution. This
                 tutorial introduces the basic genetic programming
                 framework. It explains how the powerful capability of
                 genetic programming is derived from modular algorithmic
                 components: executable representations such as an
                 abstract syntax tree, variation operators that preserve
                 syntax and explore a variable length, hierarchical
                 solution space, appropriately chosen programming
                 functions and fitness function specification.",
  notes =        "Also known as \cite{2605336} Distributed at

Genetic Programming entries for Una-May O'Reilly