A diversity-guided heuristic-based genetic algorithm for triangulation of Bayesian networks.
Xuchu DongHaihong YuDantong OuyangYuxin YeYonggang ZhangPublished in: NCM (2010)
Keyphrases
- bayesian networks
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- fitness function
- bayesian network learning
- premature convergence
- structure learning
- learning bayesian networks
- fuzzy logic
- metaheuristic
- multi objective
- evolutionary computation
- evolutionary process
- optimization method
- conditional probabilities
- graphical models
- inference in bayesian networks
- probabilistic model
- delaunay triangulation
- genetic search
- differential evolution
- markov blanket
- encoding scheme
- multiply sectioned bayesian networks
- parameter learning
- immune genetic algorithm
- probabilistic reasoning
- global search
- conditional independence
- probabilistic inference
- hidden variables
- population diversity
- incomplete data
- probabilistic modeling
- multi objective optimization
- structural models
- optimization algorithm
- multi population
- particle swarm optimization
- search result diversification
- image data
- probability distribution