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CIMCA
2008
IEEE
14 years 2 months ago
LGR: The New Genetic Based Scheduler for Grid Computing Systems
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
FLAIRS
2008
13 years 10 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
ICANN
2007
Springer
14 years 1 months ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
IJON
2006
103views more  IJON 2006»
13 years 7 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 10 days ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim