On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.
Mohamed El YafraniMarcella S. R. MartinsMyriam Regattieri de Biase da Silva DelgadoInkyung SungRicardo LüdersMarkus WagnerPublished in: CoRR (2019)
Keyphrases
- probabilistic graphical models
- estimation of distribution algorithms
- graphical models
- feature subset selection
- evolutionary computation
- particle swarm optimization algorithm
- evolutionary algorithm
- multi objective
- markov networks
- multi objective optimization
- genetic algorithm
- first order logic
- combinatorial optimization
- genetic programming
- belief propagation
- exact inference
- combinatorial optimization problems
- latent variables
- random variables
- simulated annealing
- particle swarm optimization
- probabilistic inference
- approximate inference
- continuous domains
- parameter learning
- bayesian networks
- probabilistic model
- conditional random fields
- computational intelligence
- objective function
- fuzzy measures
- training data
- feature selection