Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{eurogp07:jwalker2,
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author = "James Alfred Walker and Julian Francis Miller",
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title = "Changing the Genospace: Solving GA Problems with
Cartesian Genetic Programming",
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editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
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booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4445",
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year = "2007",
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address = "Valencia, Spain",
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month = "11-13 " # apr,
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pages = "261--270",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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ISBN = "3-540-71602-5",
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isbn13 = "978-3-540-71602-0",
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DOI = "doi:10.1007/978-3-540-71605-1_24",
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abstract = "Embedded Cartesian Genetic Programming (ECGP) is an
extension of Cartesian Genetic Programming (CGP)
capable of acquiring, evolving and re-using partial
solutions. In this paper, we apply for the first time
CGP and ECGP to the ones-max and order-3 deceptive
problems, which are normally associated with Genetic
Algorithms. Our approach uses CGP and ECGP to evolve a
sequence of commands for a tape-head, which produces an
arbitrary length binary string on a piece of tape.
Computational effort figures are calculated for CGP and
ECGP and our results compare favourably with those of
Genetic Algorithms.",
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notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
James Alfred Walker
Julian F Miller
Citations