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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 8 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
AIIA
2007
Springer
14 years 1 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
SOFTCO
2004
Springer
14 years 22 days ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
BROADNETS
2007
IEEE
14 years 1 months ago
Reduced flow routing: Leveraging residual capacity to reduce blocking in GMPLS networks
— Traffic engineering has been extensively studied to maximize network resource utilization while minimizing call blocking [1]. As the the demand for high data rate services ove...
Xiaolan J. Zhang, Sun-il Kim, Steven S. Lumetta
INFOCOM
2006
IEEE
14 years 1 months ago
Complexity of Wavelength Assignment in Optical Network Optimization
— We study the complexity of a spectrum of design problems for optical networks in order to carry a set of demands. Under wavelength division multiplexing (WDM) technology, deman...
Matthew Andrews, Lisa Zhang