100 search results - page 12 / 20 » Multi-objective techniques in genetic programming for evolvi... |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
The most controversial part of genetic programming is its highly disruptive and potentially innovative subtree crossover operator. The clearest problem with the crossover operator...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
EUROGP
2004
Springer
14 years 1 months ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
IWINAC
2005
Springer
14 years 1 months ago
2005
Springer
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
BMCBI
2007
13 years 7 months ago
2007
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...