30 search results - page 2 / 6 » Bayesian Monte Carlo for the Global Optimization of Expensiv... |
ICML
2003
IEEE
13 years 10 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
DAGSTUHL
2004
13 years 6 months ago
2004
We consider the global optimization problem for d-variate Lipschitz functions which, in a certain sense, do not increase too slowly in a neighborhood of the global minimizer(s). O...
ENC
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...