Negative Slope Coefficient. A Measure to Characterize Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{eurogp06:VanneschiTomassiniCollardVerel,
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author = "Leonardo Vanneschi and Marco Tomassini and
Philippe Collard and S\'ebastien V\'erel",
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title = "Negative Slope Coefficient. A Measure to Characterize
Genetic Programming",
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editor = "Pierre Collet and Marco Tomassini and Marc Ebner and
Steven Gustafson and Anik\'o Ek\'art",
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booktitle = "Proceedings of the 9th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3905",
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year = "2006",
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address = "Budapest, Hungary",
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month = "10 - 12 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-33143-3",
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pages = "178--189",
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DOI = "doi:10.1007/11729976_16",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Negative slope coefficient has been recently
introduced and empirically proven a suitable hardness
indicator for some well known genetic programming
benchmarks, such as the even parity problem, the
binomial-3 and the artificial ant on the Santa Fe
trail. Nevertheless, the original definition of this
measure contains several limitations. This paper points
out some of those limitations, presents a new and more
relevant definition of the negative slope coefficient
and empirically shows the suitability of this new
definition as a hardness measure for some genetic
programming benchmarks, including the multiplexer, the
intertwined spirals problem and the royal trees.",
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notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006",
- }
Genetic Programming entries for
Leonardo Vanneschi
Marco Tomassini
Philippe Collard
Sebastien Verel
Citations