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» A novel memetic algorithm for constrained optimization
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PRICAI
2004
Springer
14 years 1 days ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
IMCSIT
2010
13 years 4 months ago
Enhanced Competitive Differential Evolution for Constrained Optimization
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...
Josef Tvrdík, Radka Polakova
TNN
2010
234views Management» more  TNN 2010»
13 years 1 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
ISCAS
2006
IEEE
106views Hardware» more  ISCAS 2006»
14 years 22 days ago
A novel approach to L2-sensitivity minimization of digital filters subject to L2-scaling constraints
Abstract— This paper proposes a novel approach to L2sensitivity minimization problem of state-space digital filters subject to L2-scaling constraints. The proposed approach redu...
Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata