Investigating the performance of multi-objective optimization when learning Bayesian Networks.
Marco S. NobilePaolo CazzanigaDaniele RamazzottiPublished in: Neurocomputing (2021)
Keyphrases
- multi objective optimization
- learning bayesian networks
- multi objective
- evolutionary algorithm
- statistical data
- bayesian networks
- incomplete data
- structure learning
- genetic algorithm
- conditional independence
- bayesian network structures
- multiple objectives
- multi objective optimization problems
- differential evolution
- bi objective
- pareto optimal
- nsga ii
- optimization algorithm
- multi objective genetic algorithm
- multiobjective optimization
- pareto optimal set
- data sets
- objective function
- directed acyclic graph
- dimensionality reduction
- learning algorithm