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» Evolving Genotype to Phenotype Mappings with a Multiple-Chro...
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BMCBI
2010
89views more  BMCBI 2010»
13 years 6 months ago
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays
Background: Microarray measurements are susceptible to a variety of experimental artifacts, some of which give rise to systematic biases that are spatially dependent in a unique w...
High-Seng Chai, Terry M. Therneau, Kent R. Bailey,...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 12 months ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...
ECAL
1995
Springer
13 years 10 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 years 10 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 10 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs