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» On improving genetic programming for symbolic regression
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CEC
2005
IEEE
13 years 10 months ago
On improving genetic programming for symbolic regression
This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis of dissimilarity and mating. GP search is generally di...
Steven Gustafson, Edmund K. Burke, Natalio Krasnog...
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 7 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 8 months ago
Investigation on artificial ant using analytic programming
The paper deals with a alternative tool for symbolic regression
Zuzana Oplatková, Ivan Zelinka
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 5 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
GECCO
2004
Springer
13 years 9 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...