M-GA: A Genetic Algorithm to Search for the Best Conditional Gaussian Bayesian Network.
Massimiliano MascheriniFederico M. StefaniniPublished in: CIMCA/IAWTIC (2005)
Keyphrases
- genetic algorithm
- genetic algorithm ga
- bayesian networks
- search capabilities
- fitness function
- genetic search
- global search
- random search
- search algorithm
- genetic operators
- search space
- multi objective
- hybrid ga
- real coded
- metaheuristic
- simulated annealing
- random field model
- hybrid genetic algorithm
- hybrid algorithm
- neural network
- graphical models
- crossover and mutation
- evolutionary computing
- population size
- messy genetic algorithm
- search strategy
- search engine
- evolutionary algorithm
- particle swarm optimization
- particle swarm optimization pso
- job shop scheduling problem
- conditional probabilities
- multi objective optimization
- learning bayesian networks
- search heuristics
- probabilistic inference
- differential evolution
- penalty function
- parameter optimization
- immune genetic algorithm
- fitness evaluation
- artificial neural networks
- explore the search space
- incomplete data