Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems.
Nessrine AzzouzSlim BechikhLamjed Ben SaidPublished in: GECCO (2014)
Keyphrases
- steady state
- nsga ii
- multi objective optimization problems
- mlp neural networks
- multi objective
- multi objective optimization
- test problems
- evolutionary algorithm
- optimization problems
- fuzzy artmap
- markov chain
- optimization algorithm
- multi objective evolutionary algorithms
- optimal solution
- genetic algorithm
- differential evolution
- explicit expressions
- multi layer perceptron
- radial basis function
- fitness function
- product form
- bi objective
- arrival rate
- knapsack problem
- queue length
- neural network
- objective function
- queueing networks
- benchmark problems
- multi criteria
- particle swarm optimization
- service times
- incremental learning
- feature extraction
- fuzzy logic
- simulated annealing
- random variables
- state space
- artificial neural networks
- computational complexity
- steady states