239 search results - page 16 / 48 » Adaptive learning in evolving task allocation networks |
GECCO
2010
Springer
14 years 6 days ago
2010
Springer
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
SCAI
2001
13 years 8 months ago
2001
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...