A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems.
M. P. BarbarosouNicholas G. MaratosPublished in: IEEE Trans. Neural Networks (2008)
Keyphrases
- recurrent neural networks
- constrained optimization problems
- gradient projection
- constrained optimization
- constraint handling
- differential evolution
- evolutionary algorithm
- optimization problems
- neural network
- penalty function
- feed forward
- augmented lagrangian
- recurrent networks
- global convergence
- complex valued
- artificial neural networks
- fitness function
- reservoir computing
- hidden layer
- neural model
- echo state networks
- crossover operator
- long short term memory
- expectation maximization
- convergence speed
- particle swarm optimization
- optimization method
- multi objective
- objective function
- genetic algorithm
- metaheuristic
- optimization algorithm
- test functions
- maximum likelihood
- simulated annealing
- computer vision
- learning algorithm