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» Rank based variation operators for genetic algorithms
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EMMCVPR
2001
Springer
14 years 4 days ago
Articulated Object Tracking via a Genetic Algorithm
Within a human motion analysis system, body parts are modeled by simple virtual 3D rigid objects. Its position and orientation parameters at frame t + 1 are estimated based on the ...
Jairo Rocha, Arnau Mir
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
13 years 11 months ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 8 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months 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
ESANN
2008
13 years 9 months ago
Homogeneous bipartition based on multidimensional ranking
We present an algorithm which partitions a data set in two parts with equal size and experimentally nearly the same distribution measured through the likelihood of a Parzen kernel ...
Michaël Aupetit