Genetic Programming: A Tutorial Introduction

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Una-May O'Reilly",
  title =        "Genetic Programming: A Tutorial Introduction",
  booktitle =    "GECCO '16 Companion: Proceedings of the Companion
                 Publication of the 2016 Annual Conference on Genetic
                 and Evolutionary Computation",
  year =         "2016",
  isbn13 =       "978-1-4503-4323-7",
  pages =        "255--271",
  keywords =     "genetic algorithms, genetic programming",
  month =        "20-24 " # jul,
  organisation = "SIGEVO",
  address =      "Denver, Colorado, USA",
  DOI =          "doi:10.1145/2908961.2926984",
  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 =        "tutorial",

Genetic Programming entries for Una-May O'Reilly