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» Fitness Landscapes and Evolvability
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86
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TEC
2012
195views Formal Methods» more  TEC 2012»
12 years 12 months ago
The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates
Kimura’s neutral theory of evolution has inspired researchers from the evolutionary computation community to incorporate neutrality into Evolutionary Algorithms (EAs) in the hop...
Riccardo Poli, Edgar Galván López
83
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EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
15 years 3 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch
CEC
2005
IEEE
15 years 3 months ago
Multidimensional epistasis and the advantage of sex
Kondrashov and Kondrashov (2001) point out that, although common in population genetic models, epistatic systems where the fitness of a genotype is a non-linear function of the num...
Richard A. Watson, John Wakeley
75
Voted
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 2 months ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens