Structure learning and optimisation in a Markov-network based estimation of distribution algorithm.
Alexander E. I. BrownleeJohn A. W. McCallSiddhartha ShakyaQingfu ZhangPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- structure learning
- estimation of distribution algorithms
- conditional independence
- continuous domains
- genetic algorithm
- bayesian networks
- feature subset selection
- graphical models
- evolutionary computation
- evolutionary algorithm
- random variables
- multi objective
- particle swarm optimization algorithm
- probability distribution
- genetic programming
- combinatorial optimization
- causal models
- multi objective optimization
- particle swarm optimization
- simulated annealing
- transfer learning
- directed acyclic graph
- combinatorial optimization problems
- parameter estimation
- probabilistic model
- markov networks
- network structure
- sample size
- computational intelligence
- convergence speed
- conditional probabilities
- continuous variables
- artificial intelligence
- machine learning