GD-GIBBS: a GPU-based sampling algorithm for solving distributed constraint optimization problems.
Ferdinando FiorettoFederico CampeottoLuca Da Rin FiorettoWilliam YeohEnrico PontelliPublished in: AAMAS (2014)
Keyphrases
- sampling algorithm
- distributed constraint optimization problems
- markov chain monte carlo
- random sampling
- solution quality
- graph coloring
- multiagent systems
- scheduling problem
- markov random field
- simulated annealing
- evolutionary algorithm
- generative model
- monte carlo
- approximate inference
- posterior distribution
- combinatorial optimization
- complex objects
- bayesian framework
- bayesian networks
- constraint satisfaction
- markov chain
- data streams