A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks.
Tae Jong ChoiYun-Gyung CheongChang Wook AhnPublished in: BIC-TA (2) (2018)
Keyphrases
- multi layer perceptron
- differential evolution
- neural network
- evolutionary algorithm
- genetic algorithm
- backpropagation algorithm
- artificial neural networks
- particle swarm optimization
- optimization algorithm
- differential evolution algorithm
- mutation operator
- neural network model
- convergence speed
- mutation strategy
- crossover operator
- radial basis function
- feedforward neural networks
- particle swarm optimization pso
- multi objective optimization
- neural network structure
- premature convergence
- evolution strategy
- function optimization problems
- mlp neural networks
- artificial neural network models
- activation function
- numerical optimization problems
- real coded
- global optimization problems
- fuzzy logic
- multi objective
- initial population
- back propagation
- evolutionary strategy
- neuro fuzzy
- pso algorithm
- pattern recognition
- biogeography based optimization
- feed forward neural networks
- fuzzy artmap
- parameter optimization
- support vector machine
- training algorithm
- optimization problems