201 search results - page 3 / 41 » Optimizing an objective function under a bivariate probabili... |
ICST
2009
IEEE
13 years 12 months ago
2009
IEEE
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
SODA
2010
ACM
14 years 2 months ago
2010
ACM
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
ISIPTA
2005
IEEE
13 years 11 months ago
2005
IEEE
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
WSC
2008
13 years 7 months ago
2008
Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variab...