Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.
Alejandro M. Hernández-DíazAndrés Bueno-CrespoJorge Pérez-AracilJosé M. CeciliaPublished in: Appl. Soft Comput. (2018)
Keyphrases
- optimal design
- evolutionary algorithm
- multi objective
- extreme learning machine
- support vector regression
- multi objective optimization
- optimization algorithm
- feed forward neural networks
- feedforward neural networks
- optimization problems
- evolutionary computation
- neural network
- hidden nodes
- simulated annealing
- gaussian processes
- differential evolution
- single layer
- particle swarm optimization
- nsga ii
- genetic algorithm
- fitness function
- variable selection
- multi objective optimization problems
- activation function
- support vector machine
- multi layer
- neural nets
- back propagation
- bayesian networks
- training data