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» Genetic algorithm optimization of superresolution parameters
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ASC
2004
14 years 11 months ago
Soft computing applications in dynamic model identification of polymer extrusion process
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...
84
Voted
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 3 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
91
Voted
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 5 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 6 days 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...
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
15 years 5 months ago
Latent variable crossover for k-tablet structures and its application to lens design problems
This paper presents the Real-coded Genetic Algorithms for high-dimensional ill-scaled structures, what is called, the ktablet structure. The k-tablet structure is the landscape th...
Jun Sakuma, Shigenobu Kobayashi