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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 4 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
52
Voted
MVA
2007
105views Computer Vision» more  MVA 2007»
15 years 3 months ago
Identifying Hand Gesture Images by Using Genetic Algorithms
A genetic algorithm (GA) is an optimization algorithm that simulates the hereditary phenomenon of natural life. Although GA has been applied to image processing, it has not been s...
Tetsuji Kobayashi, Norifumi Machida
ESANN
2001
15 years 3 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 3 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
ESWA
2008
162views more  ESWA 2008»
15 years 2 months ago
Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm
The proportionate flow shop (PFS) is considered as a unique case of the flow shop problem in which the processing times of the operations belonging to the same job are equal. A pr...
Der-Fang Shiau, Shu-Chen Cheng, Yueh-Min Huang