The Influence of Population Size on Geometric Semantic GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Castelli:2014:SMGP,
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author = "Mauro Castelli and Luca Manzoni and Sara Silva and
Leonardo Vanneschi",
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title = "The Influence of Population Size on Geometric Semantic
GP",
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booktitle = "Semantic Methods in Genetic Programming",
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year = "2014",
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editor = "Colin Johnson and Krzysztof Krawiec and
Alberto Moraglio and Michael O'Neill",
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address = "Ljubljana, Slovenia",
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month = "13 " # sep,
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note = "Workshop at Parallel Problem Solving from Nature 2014
conference",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Castelli.pdf",
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size = "2 pages",
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abstract = "In this work we study the influence of the population
size on the learning ability of Geometric Semantic
Genetic Programming (GSGP) for the task of symbolic
regression. The results show that having small
populations results on a better training fitness with
respect to the use of large populations after the same
number of fitness evaluations. However, models obtained
with large populations show a better performance on
unseen data.",
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notes = "SMGP 2014
http://www.cs.put.poznan.pl/kkrawiec/smgp/?n=Site.SMGP2014",
- }
Genetic Programming entries for
Mauro Castelli
Luca Manzoni
Sara Silva
Leonardo Vanneschi
Citations