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» Data Mining for Genetics: A Genetic Algorithm Approach
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FGCS
2010
119views more  FGCS 2010»
15 years 2 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
ICEC
1994
37views more  ICEC 1994»
15 years 5 months ago
A Method for Utilizing Diploid/Dominance in Genetic Search
homologous alleles seemingly compete prior to manifestation in the observed phenotype, will be referred to as sub-phenotype interaction.A method is proposed for implementing diploi...
F. Greene
149
Voted
ISBI
2011
IEEE
14 years 7 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...
139
Voted
WOB
2004
134views Bioinformatics» more  WOB 2004»
15 years 5 months ago
Reconstruction of Phylogenetic Trees using the Ant Colony Optimization Paradigm
We developed a new approach for the reconstruction of phylogenetic trees using ant colony optimization metaheuristics.Atree is constructed using a fully connected graph and the pro...
Heitor S. Lopes, Mauricio Perretto
124
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...