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EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
15 years 4 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
AAAI
2008
15 years 4 days ago
Efficient Haplotype Inference with Answer Set Programming
Identifying maternal and paternal inheritance is essential to be able to find the set of genes responsible for a particular disease. Although we have access to genotype data (gene...
Esra Erdem, Ferhan Türe
JC
2007
101views more  JC 2007»
14 years 9 months ago
Simple Monte Carlo and the Metropolis algorithm
We study the integration of functions with respect to an unknown density. Information is available as oracle calls to the integrand and to the nonnormalized density function. We ar...
Peter Mathé, Erich Novak
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 3 months ago
Automated re-invention of six patented optical lens systems using genetic programming
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
John R. Koza, Sameer H. Al-Sakran, Lee W. Jones
FLAIRS
2008
15 years 3 days ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson