Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{bentley:1999:TWGDACEEDP,
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author = "Peter Bentley and Sanjeev Kumar",
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title = "Three Ways to Grow Designs: A Comparison of
Embryogenies for an Evolutionary Design Problem",
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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 = "1",
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pages = "35--43",
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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.ucl.ac.uk/staff/p.bentley/BEKUC1.pdf",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GA-329.ps",
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URL = "http://dl.acm.org/citation.cfm?id=2933923.2933928",
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acmid = "2933928",
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size = "9 pages",
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abstract = "This paper explores the use of growth processes, or
embryogenies, to map genotypes to phenotypes within
evolutionary systems. Following a summary of the
significant features of embryogenies, the three main
types of embryogenies in Evolutionary Computation are
then identified and explained: external, explicit and
implicit. An experimental comparison between these
three different embryogenies and an evolutionary
algorithm with no embryogeny is performed. The problem
set to the four evolutionary systems is to evolve
tessellating tiles. In order to assess the scalability
of the embryogenies, the problem is increased in
difficulty by enlarging the size of tiles to be
evolved. The results are surprising, with the implicit
embryogeny outperforming all other techniques by
showing no significant increase in the size of the
genotypes or decrease in accuracy of evolution as the
scale of the problem is increased.",
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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
Peter J Bentley
Sanjeev Kumar
Citations