Negative Slope Coefficient. A Measure to Characterize Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{eurogp06:VanneschiTomassiniCollardVerel,

• author = "Leonardo Vanneschi and Marco Tomassini and Philippe Collard and S\'ebastien V\'erel",
• title = "Negative Slope Coefficient. A Measure to Characterize Genetic Programming",
• editor = "Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art",
• booktitle = "Proceedings of the 9th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3905",
• year = "2006",
• address = "Budapest, Hungary",
• month = "10 - 12 " # apr,
• organisation = "EvoNet",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-33143-3",
• pages = "178--189",
• DOI = "doi:10.1007/11729976_16",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• 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.",
• 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

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