MOEA/D assisted by rbf networks for expensive multi-objective optimization problems.

Saúl Zapotecas Martínez Carlos A. Coello Coello

Published 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