Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables.
Vicente P. SolovievPedro LarrañagaConcha BielzaPublished in: J. Comb. Optim. (2022)
Keyphrases
- bayesian networks
- optimization problems
- estimation of distribution algorithms
- combinatorial optimization problems
- evolutionary algorithm
- conditional probabilities
- combinatorial optimization
- hidden variables
- multi objective
- cost function
- nonlinear optimization problems
- feature subset selection
- probabilistic model
- particle swarm optimization
- evolutionary computation
- conditional independence
- global optimization
- objective function
- artificial intelligence
- neural network
- knapsack problem
- optimization methods
- multi objective optimization
- cross validation
- metaheuristic
- search space
- structure learning
- continuous domains
- artificial neural networks