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» Generalization Algorithms for Second-Order Terms
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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 7 days ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
16 years 7 days ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 7 days ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
16 years 7 days ago
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Elena Popovici, Kenneth A. De Jong
ISSAC
2005
Springer
107views Mathematics» more  ISSAC 2005»
16 years 6 days ago
Symmetric and semisymmetric graphs construction using G-graphs
Symmetric and semisymmetric graphs are used in many scientific domains, especially parallel computation and interconnection networks. The industry and the research world make a h...
Alain Bretto, Luc Gillibert, Bernard Laget