Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source

2015 ◽  
pp. 225-244
Author(s):  
A. Wawrzynczak ◽  
M. Jaroszynski ◽  
M. Borysiewicz
Keyword(s):  
Genetic Algorithm ◽  
Contamination Source ◽  
Atmospheric Contamination

scholarly journals MCMC methods applied to the reconstruction of the autumn 2017 Ruthenium-106 atmospheric contamination source

2020 ◽  
Vol 6 ◽  
pp. 100071
Author(s):  
Joffrey Dumont Le Brazidec ◽  
Marc Bocquet ◽  
Olivier Saunier ◽  
Yelva Roustan
Keyword(s):  
Mcmc Methods ◽  
Contamination Source ◽  
Atmospheric Contamination

Locating an atmospheric contamination source using slow manifolds

2009 ◽  
Vol 21 (4) ◽  
pp. 043302 ◽  
Author(s):  
Wenbo Tang ◽  
George Haller ◽  
Jong-Jin Baik ◽  
Young-Hee Ryu
Keyword(s):  
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Atmospheric Contamination ◽  
Slow Manifolds

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
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Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
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