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118
Voted
GECCO
2005
Springer
171views Optimization» more  GECCO 2005»
15 years 8 months ago
Behaviorally coupled emergent representation
Traditionally, representation has been perceived as a necessity for producing intelligent behavior. Once the right representation is in place to drive it, behavior unfolds as the ...
Joseph Lewis, Jamie Lawson
144
Voted
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
15 years 8 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»
15 years 8 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
130
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 8 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»
15 years 8 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...