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» Monte Carlo simulation approach to stochastic programming
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CPHYSICS
2007
84views more  CPHYSICS 2007»
15 years 6 months ago
Simulating botulinum neurotoxin with constant pH molecular dynamics in Generalized Born implicit solvent
A new method was proposed by Mongan et al for constant pH molecular dynamics simulation and was implemented in AMBER 8 package. Protonation states are modeled with different char...
Yongzhi Chen, Xin Chen, Yuefan Deng
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 8 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
15 years 7 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
FSS
2008
87views more  FSS 2008»
15 years 6 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
TIP
2010
164views more  TIP 2010»
15 years 23 days ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...