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Communication Dans Un Congrès Année : 2006

Negative slope coefficient. a measure to characterize genetic programming fitness landscapes

Résumé

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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Dates et versions

hal-00164684 , version 1 (21-01-2009)

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Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Verel. Negative slope coefficient. a measure to characterize genetic programming fitness landscapes. EUROGP'06, Genetic Programming, 9th European Conference, Apr 2006, France. pp.178-189, ⟨10.1007/11729976_16⟩. ⟨hal-00164684⟩
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