NCA
2007
IEEE
13 years 4 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Scheduling collective communications (CC) in networks based on optimal graphs and digraphs has been done with the use of the evolutionary techniques. Inter-node communication patt...
EVOW
2003
Springer
13 years 9 months ago
2003
Springer
This paper explores the application of evolutionary techniques to the design of novel sounds and their characteristics during performance. It is based on the “selective breedingâ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
AHS
2006
IEEE
13 years 10 months ago
2006
IEEE
The application of evolutionary techniques to the design of custom processing elements bears a strong relation to the natural process that led to the co-evolution of cells and gen...