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EPS
1995
Springer
13 years 11 months ago
PANIC: A Parallel Evolutionary Rule Based System
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
Antonella Giani, Fabrizio Baiardi, Antonina Starit...
IJON
2006
103views more  IJON 2006»
13 years 7 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
CEC
2009
IEEE
14 years 2 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing