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GECCO
2009
Springer
305views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving competitive car controllers for racing games with neuroevolution
Modern computer games are at the same time an attractive application domain and an interesting testbed for the evolutionary computation techniques. In this paper we apply NeuroEvo...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 2 months ago
Alternative Bloat Control Methods
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
Liviu Panait, Sean Luke
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
AE
2003
Springer
15 years 2 months ago
The Evolutionary Control Methodology: An Overview
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...
GECCO
2007
Springer
131views Optimization» more  GECCO 2007»
15 years 3 months ago
Using feedback to regulate gene expression in a developmental control architecture
We present what we believe is the first attempt to physically reconstruct the exploratory mechanism of genetic regulatory networks. Feedback plays a crucial role during developme...
Kester Clegg, Susan Stepney, Tim Clarke