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GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 10 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
GECCO
2006
Springer
332views Optimization» more  GECCO 2006»
15 years 10 months ago
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
Gerulf K. M. Pedersen, Zhenyu Yang
CBMS
2005
IEEE
15 years 8 months ago
Biclustering of Expression Data Using Simulated Annealing
In gene expression data a bicluster is a subset of genes and a subset of conditions which show correlating levels of expression. However, the problem of finding significant biclu...
Kenneth Bryan, Padraig Cunningham, Nadia Bolshakov...
GRAPHICSINTERFACE
2007
15 years 8 months ago
Optimized tile-based texture synthesis
One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that the sample patches employed as primary patterns of t...
Weiming Dong, Ning Zhou, Jean-Claude Paul
HIS
2008
15 years 8 months ago
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
André L. D. Rossi, André C. P. L. F....