Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{conf/eurocast/ZavoianuKKZA11,
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author = "Alexandru-Ciprian Zavoianu and Gabriel Kronberger and
Michael Kommenda and Daniela Zaharie and
Michael Affenzeller",
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title = "Improving the Parsimony of Regression Models for an
Enhanced Genetic Programming Process",
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booktitle = "13th International Conference on Computer Aided
Systems Theory, EUROCAST 2011",
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year = "2011",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "6927",
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series = "Lecture Notes in Computer Science",
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pages = "264--271",
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address = "Las Palmas de Gran Canaria, Spain",
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month = feb # " 6-11",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, symbolic
regression, solution parsimony, bloat control",
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isbn13 = "978-3-642-27548-7",
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DOI = "doi:10.1007/978-3-642-27549-4_34",
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abstract = "This research is focused on reducing the average size
of the solutions generated by an enhanced GP process
without affecting the high predictive accuracy the
method exhibits when being applied on a complex,
industry proposed, regression problem. As such, the
effects the GP enhancements have on bloat have been
studied and, finally, a bloat control system based on
dynamic depth limiting (DDL) and iterated tournament
pruning (ITP) was designed. The resulting bloat control
system is able to improve by about 40percent the
average GP solution parsimony without impacting average
solution accuracy.",
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notes = "Revised Selected Papers.
http://ciprian-zavoianu.blogspot.co.uk/",
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affiliation = "Department of Computer Science, West University of
Timisoara, Romania",
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bibdate = "2012-02-01",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/eurocast/eurocast2011-1.html#ZavoianuKKZA11",
- }
Genetic Programming entries for
Ciprian Zavoianu
Gabriel Kronberger
Michael Kommenda
Daniela Zaharie
Michael Affenzeller
Citations