A data-driven robust optimization algorithm for black-box cases: An application to hyper-parameter optimization of machine learning algorithms.
Farshad SeifiMohammad Javad AziziSeyed Taghi Akhavan NiakiPublished in: Comput. Ind. Eng. (2021)
Keyphrases
- optimization algorithm
- machine learning algorithms
- black box
- parameter optimization
- differential evolution
- data driven
- multi objective
- benchmark data sets
- black boxes
- optimization method
- learning algorithm
- particle swarm optimization pso
- decision trees
- test cases
- machine learning
- genetic algorithm ga
- meta learning
- genetic algorithm
- white box
- evolutionary algorithm
- machine learning models
- particle swarm optimization
- evolutionary computation
- metaheuristic
- bp neural network
- control parameters
- feature vectors
- candidate solutions
- training set