29 search results - page 1 / 6 » Solving the MAXSAT problem using a multivariate EDA based on... |
GECCO
2007
Springer
13 years 10 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...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
DATE
2008
IEEE
13 years 6 months ago
2008
IEEE
Many decision and optimization problems in Electronic Design Automation (EDA) can be solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find app...
CP
2003
Springer
13 years 9 months ago
2003
Springer
For the last ten years, a significant amount of work in the constraint community has been devoted to the improvement of complete methods for solving soft constraints networks. We ...
ISCI
2008
13 years 4 months ago
2008
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...