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» Evolutionary Optimization of RBF Networks
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CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 12 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CEC
2003
IEEE
15 years 5 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 6 months ago
Complex networks and evolutionary computation
Carlos Cotta, Juan Julián Merelo Guerv&oacu...
62
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GECCO
2005
Springer
15 years 5 months ago
Evolutionary algorithms for the self-organized evolution of networks
Katharina Anna Lehmann, Michael Kaufmann
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 5 months ago
An evolutionary algorithm to generate ellipsoid network intrusion detectors
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...