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CEC
2009
IEEE
16 years 1 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2008
IEEE
16 years 1 months ago
Hyper-selection in dynamic environments
— In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods...
Shengxiang Yang, Renato Tinós
ATAL
2005
Springer
16 years 3 days ago
Agent-based trust model involving multiple qualities
A key limitation of current Web services standards is the inability to differentiate service instances at runtime using (nonfunctional) qualities of services (QoS). Such differe...
E. Michael Maximilien, Munindar P. Singh
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 10 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
AAAI
2007
15 years 9 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...