Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks.
Mark DeutelGeorgios D. KontesChristopher MutschlerJürgen TeichPublished in: CoRR (2023)
Keyphrases
- random search
- multi objective
- genetic algorithm
- neural network
- optimization algorithm
- parameter optimization
- evolutionary algorithm
- simulated annealing
- multiple objectives
- search space
- conflicting objectives
- genetic algorithm ga
- artificial neural networks
- optimum design
- particle swarm optimization
- multi objective optimization
- optimization problems
- bayesian networks
- maximum likelihood
- back propagation
- grid search
- fitness function
- multi objective evolutionary algorithms
- bayesian inference
- parameter estimation
- parameter settings
- particle swarm optimization pso
- fuzzy logic
- pairwise
- objective function
- machine learning