Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms.
Alfredo Cuesta-InfanteRoberto SantanaJosé Ignacio HidalgoConcha BielzaPedro LarrañagaPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- estimation of distribution algorithms
- feature subset selection
- evolutionary computation
- evolutionary algorithm
- multi objective
- particle swarm optimization algorithm
- multi objective optimization
- combinatorial optimization
- genetic programming
- genetic algorithm
- combinatorial optimization problems
- machine learning
- continuous domains
- particle swarm optimization
- fitness function
- artificial intelligence
- support vector
- simulated annealing
- artificial neural networks
- metaheuristic
- similarity measure
- differential evolution
- decision making
- feature selection
- computational intelligence
- fuzzy logic
- classification accuracy
- learning algorithm
- high dimensional