Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks.
Ayla GülcüZeki KusPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- parameter optimization
- multi objective
- convolutional neural networks
- simulated annealing
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- differential evolution
- optimization algorithm
- convolutional network
- random search
- tabu search
- optimization method
- metaheuristic
- particle swarm optimization
- fitness function
- particle swarm optimization pso
- optimization problems
- neural network
- nsga ii
- artificial neural networks
- fuzzy logic
- parameter estimation
- objective function
- parameter settings
- pid controller
- image segmentation
- closed form
- pso algorithm
- support vector machine
- ant colony optimization
- genetic programming