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CEC
2007
IEEE
14 years 1 months ago
Continuous dynamic problem generators for evolutionary algorithms
— Addressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of...
Renato Tinós, Shengxiang Yang
IJON
2000
105views more  IJON 2000»
13 years 6 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 7 days ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
TIP
1998
240views more  TIP 1998»
13 years 6 months ago
DCT-based motion estimation
—We propose novel discrete cosine transform (DCT) pseudophase techniques to estimate shift/delay between two onedimensional (1-D) signals directly from their DCT coefficients by...
Ut-Va Koc, K. J. Ray Liu
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 10 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...