A Multi-Objective Optimization Approach for Training Artificial Neural Networks.
Roselito de Albuquerque TeixeiraAntônio de Pádua BragaRicardo H. C. TakahashiRodney R. SaldanhaPublished in: SBRN (2000)
Keyphrases
- multi objective optimization
- artificial neural networks
- multi objective
- evolutionary algorithm
- evolutionary artificial neural networks
- genetic algorithm
- feed forward neural networks
- neural network
- multi layer perceptron
- multi objective optimization problems
- feedforward artificial neural networks
- pareto optimal
- multiple objectives
- nsga ii
- benchmark classification problems
- lower bound
- differential evolution
- computational intelligence
- genetic algorithm ga
- pareto optimal set
- multi objective genetic algorithms
- multiobjective optimization
- multi objective genetic algorithm
- bi objective
- training set
- pareto frontier
- optimization problems
- complex optimization problems
- neural network model
- decision makers
- optimization algorithm
- simulated annealing
- evolutionary computation
- multilayer perceptron