GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms.
José M. PeñaVíctor RoblesPedro LarrañagaVanessa HervesFrancisco RosalesMaría S. PérezPublished in: IEA/AIE (2004)
Keyphrases
- estimation of distribution algorithms
- hybrid evolutionary algorithm
- evolutionary algorithm
- multi objective optimization
- multi objective
- evolutionary computation
- crossover and mutation operators
- genetic algorithm
- fitness function
- genetic algorithm ga
- simulated annealing
- crossover and mutation
- differential evolution
- genetic programming
- optimization problems
- crossover operator
- particle swarm optimization
- optimization algorithm
- mutation operator
- cost function
- optimization method
- evolution strategy
- machine learning
- feature subset selection
- objective function
- combinatorial optimization
- reinforcement learning
- feature vectors
- hybrid particle swarm optimization
- artificial intelligence
- neural network