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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 3 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 3 months ago
Evolving petri nets to represent metabolic pathways
Given concentrations of metabolites over a sequence of time steps, the metabolic pathway prediction problem seeks a set of reactions and rate constants for them that could yield t...
Jeremiah Nummela, Bryant A. Julstrom
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 3 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 3 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 3 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba