On Naive Crossover Biases with Reproduction for Simple Solutions to Classification Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{Terrio:ONC:gecco2004,
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author = "M. David Terrio and Malcolm I. Heywood",
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title = "On Naive Crossover Biases with Reproduction for Simple
Solutions to Classification Problems",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2004,
Part II",
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year = "2004",
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editor = "Kalyanmoy Deb and Riccardo Poli and
Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and
Paul Darwen and Dipankar Dasgupta and Dario Floreano and
James Foster and Mark Harman and Owen Holland and
Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and
Dirk Thierens and Andy Tyrrell",
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series = "Lecture Notes in Computer Science",
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pages = "678--689",
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address = "Seattle, WA, USA",
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publisher_address = "Heidelberg",
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month = "26-30 " # jun,
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organisation = "ISGEC",
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publisher = "Springer-Verlag",
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volume = "3103",
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ISBN = "3-540-22343-6",
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ISSN = "0302-9743",
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DOI = "doi:10.1007/b98645",
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URL = "http://users.cs.dal.ca/~mheywood/X-files/Publications/dave-GECCO04.pdf",
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size = "12",
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keywords = "genetic algorithms, genetic programming",
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abstract = "A series of simple biases to the selection of
crossover points in tree structured genetic programming
are investigated with respect to the provision of
parsimonious solutions. Such a set of biases has a
minimal computational overhead as they are based on
information already used to estimate the fitness of
individuals. Reductions to code bloat are demonstrated
for the real world classification problems
investigated. Moreover, bloated solutions provided by a
uniform crossover operator often appear to defeat the
application of MAPLE simplification heuristics.",
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notes = "GECCO-2004 A joint meeting of the thirteenth
international conference on genetic algorithms
(ICGA-2004) and the ninth annual genetic programming
conference (GP-2004)",
- }
Genetic Programming entries for
M David Terrio
Malcolm Heywood
Citations