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» Using Neural Nets to Estimate Evolutionary Parameters
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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 22 days ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 4 days ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...
IWANN
2001
Springer
13 years 11 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
EVOW
2007
Springer
14 years 1 months ago
Modeling the Shoot Apical Meristem in A. thaliana : Parameter Estimation for Spatial Pattern Formation
Understanding the self-regulatory mechanisms controlling the spatial and temporal structure of multicellular organisms represents one of the major challenges in molecular biology. ...
Tim Hohm, Eckart Zitzler
EVOW
2010
Springer
14 years 2 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben