18 search results - page 1 / 4 » Encoding feedforward networks for topology optimization by s... |
KES
2000
Springer
13 years 8 months ago
2000
Springer
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Parallel Global Optimization Algorithms (PGOA) provide an efficient way of dealing with hard optimization problems. One method of parallelization of GOAs that is frequently applie...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
SAB
2010
Springer
13 years 3 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...