MOEA/D assisted by rbf networks for expensive multi-objective optimization problems.
Saúl Zapotecas MartínezCarlos A. Coello CoelloPublished in: GECCO (2013)
Keyphrases
- genetic programming
- multi objective optimization problems
- rbf network
- multi objective
- evolutionary algorithm
- multi objective evolutionary algorithms
- multi objective optimization
- nsga ii
- radial basis function
- evolutionary computation
- differential evolution
- genetic algorithm
- optimization algorithm
- multiobjective optimization
- test problems
- pareto optimal solutions
- learning algorithm
- particle swarm optimization
- bi objective
- neural network
- pareto optimal
- objective function
- artificial neural networks
- back propagation
- multiple objectives
- multi criteria
- learning tasks
- multilayer perceptron
- optimization methods
- rbf neural network
- swarm intelligence
- expert systems
- basis functions
- simulated annealing
- bp neural network
- feature space
- support vector
- search space