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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 6 days ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
DSOM
2009
Springer
14 years 2 months ago
Self-optimizing Hybrid Routing in Publish/Subscribe Systems
Rendering networks and distributed systems self-managing and self-optimizing has become a major research focus. This task is especially important for systems, such as publish/subsc...
Arnd Schröter, Daniel Graff, Gero Mühl, ...
ESANN
2004
13 years 9 months ago
Evolutionary Optimization of Neural Networks for Face Detection
For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by...
Stefan Wiegand, Christian Igel, Uwe Handmann
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
WONS
2005
IEEE
14 years 1 months ago
Ant Agents for Hybrid Multipath Routing in Mobile Ad Hoc Networks
In this paper we describe AntHocNet, an algorithm for routing in mobile ad hoc networks based on ideas from the Nature-inspired Ant Colony Optimization framework. The algorithm co...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...