``Genetic'' Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{luke:1999:P,
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author = "Sean Luke and Shugo Hamahashi and Hiroaki Kitano",
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title = "``Genetic'' Programming",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
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year = "1999",
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editor = "Wolfgang Banzhaf and Jason Daida and
Agoston E. Eiben and Max H. Garzon and Vasant Honavar and
Mark Jakiela and Robert E. Smith",
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volume = "2",
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pages = "1098--1105",
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address = "Orlando, Florida, USA",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "13-17 " # jul,
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-55860-611-4",
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URL = "http://www.cs.gmu.edu/~sean/papers/gene-gecco99.pdf",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-437.ps",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-437.pdf",
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URL = "http://www.cs.gmu.edu/~sean/papers/gene-gecco99.ps.gz",
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abstract = "Much of evolutionary computation was inspired by
Mendelian genetics. But modern genetics has since
advanced considerably, revealing that genes are not
simply parameter settings, but interactive cogs in a
complex chemical machine. At the same time, an
increasing number of evolutionary computation domains
are evolving non-parameterized mechanisms such as
neural networks or symbolic computer programs. As such,
we think modern biological genetics offers much in
helping us understand how to evolve such things. In
this paper, we present a gene regulation model for
Drosophila melanogaster. We then apply gene regulation
to evolve deterministic finite-state automata, and show
that our approach does well compared to past examples
from the literature.",
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notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99)",
- }
Genetic Programming entries for
Sean Luke
Shugo Hamahashi
Hiroaki Kitano
Citations