Lexicographic Parsimony Pressure
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{luke2:2002:gecco,
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author = "Sean Luke and Liviu Panait",
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title = "Lexicographic Parsimony Pressure",
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booktitle = "GECCO 2002: Proceedings of the Genetic and
Evolutionary Computation Conference",
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editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and
R. Roy and D. Davis and R. Poli and K. Balakrishnan and
V. Honavar and G. Rudolph and J. Wegener and
L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and
E. Burke and N. Jonoska",
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year = "2002",
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pages = "829--836",
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address = "New York",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "9-13 " # jul,
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publisher = "Morgan Kaufmann Publishers",
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keywords = "genetic algorithms, genetic programming, bloat,
parsimony pressure",
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ISBN = "1-55860-878-8",
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URL = "http://cs.gmu.edu/~sean/papers/lexicographic.pdf",
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URL = "http://cs.gmu.edu/~sean/papers/lexicographic.ps.gz",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/GP157.pdf",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
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URL = "http://citeseer.ist.psu.edu/535375.html",
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abstract = "We introduce a technique called lexicographic
parsimony pressure, for controlling the significant
growth of genetic programming trees during the course
of an evolutionary computation run. Lexicographic
parsimony pressure modifies selection to prefer smaller
trees only when fitnesses are equal (or equal in rank).
This technique is simple to implement and is not
affected by specific differences in fitness values, but
only by their relative ranking. In two experiments we
show that lexicographic parsimony pressure reduces tree
size while maintaining good fitness values,
particularly when coupled with Koza-style maximum tree
depth limits.",
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notes = "GECCO-2002. A joint meeting of the eleventh
International Conference on Genetic Algorithms
(ICGA-2002) and the seventh Annual Genetic Programming
Conference (GP-2002)",
- }
Genetic Programming entries for
Sean Luke
Liviu Panait
Citations