239 search results - page 13 / 48 » Combining genetic algorithms with squeaky-wheel optimization |
132
Voted
GECCO
2004
Springer
15 years 9 months ago
2004
Springer
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
120
Voted
GECCO
1999
Springer
15 years 7 months ago
1999
Springer
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
117
Voted
ICANNGA
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
159
Voted
GECCO
2010
Springer
15 years 4 months ago
2010
Springer
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
143
Voted
ICDAR
2003
IEEE
15 years 8 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...