Posterior agreement for large parameter-rich optimization problems.
Joachim M. BuhmannJulien DumazertAlexey GronskiyWojciech SzpankowskiPublished in: Theor. Comput. Sci. (2018)
Keyphrases
- optimization problems
- evolutionary algorithm
- metaheuristic
- cost function
- objective function
- input parameters
- optimization methods
- parameter values
- bayesian framework
- probability distribution
- combinatorial optimization
- class probabilities
- parameter settings
- multiscale
- particle swarm optimization
- traveling salesman problem
- probabilistic model
- posterior probability
- multi objective
- support vector
- posterior distribution
- control parameters
- image sequences
- real time