Polymorphism and Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{yu:2001:EuroGP_poly,
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author = "Tina Yu",
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title = "Polymorphism and Genetic Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "218--233",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Polymorphism,
Strongly Typed GP, STGP, Multi-objective optimisation,
Typed GP, Constraint handling, PolyGP",
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ISBN = "3-540-41899-7",
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URL = "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/poly.pdf",
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URL = "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/poly.pdf",
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DOI = "doi:10.1007/3-540-45355-5_17",
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size = "16 pages",
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abstract = "Types have been introduced to Genetic Programming (GP)
by researchers with different motivation. We present
the concept of types in GP and introduce a typed GP
system, PolyGP, that supports polymorphism through the
use of three different kinds of type variable. We
demonstrate the usefulness of this kind of polymorphism
in GP by evolving two polymorphic programs (nth and
map) using the system. Based on the analysis of a
series of experimental results, we conclude that this
implementation of polymorphism is effective in
assisting GP evolutionary search to generate these two
programs. PolyGP may enhance the applicability of GP to
a new class of problems that are difficult for other
polymorphic GP systems to solve.",
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notes = "EuroGP'2001, part of miller:2001:gp. Best
presentation",
- }
Genetic Programming entries for
Tina Yu
Citations