Genetic programming: a tutorial introduction
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @InProceedings{OReilly:2014:GECCOcomp,
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author = "Una-May O'Reilly",
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title = "Genetic programming: a tutorial introduction",
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booktitle = "GECCO 2014 Introductory tutorials",
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year = "2014",
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editor = "Mengjie Zhang",
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isbn13 = "978-1-4503-2881-4",
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keywords = "genetic algorithms, genetic programming",
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pages = "227--250",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "http://doi.acm.org/10.1145/2598394.2605336",
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DOI = "doi:10.1145/2598394.2605336",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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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.",
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notes = "Also known as \cite{2605336} Distributed at
GECCO-2014.",
- }
Genetic Programming entries for
Una-May O'Reilly
Citations