A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach.
André M. YokoyamaMariza FerroBruno SchulzePublished in: IBERAMIA (2022)
Keyphrases
- multi objective
- machine learning
- optimization algorithm
- genetic algorithm
- evolutionary optimization
- multiple objectives
- conflicting objectives
- optimum design
- multiobjective optimization
- evolutionary algorithm
- artificial intelligence
- multi objective optimization
- model selection
- engineering design problems
- data mining
- knowledge representation
- optimization problems
- machine learning methods
- particle swarm
- optimization method
- objective function
- expert systems
- learning tasks
- global optimization
- pattern recognition
- learning problems
- machine learning algorithms
- computational intelligence
- knowledge acquisition
- optimization approaches
- case based reasoning
- nsga ii
- pareto optimal
- inductive logic programming
- text mining
- gaussian process
- particle swarm optimization
- gaussian processes
- multi objective evolutionary algorithms
- supervised learning
- differential evolution
- feature selection
- data analysis
- hyperparameters
- active learning
- information extraction
- combinatorial optimization
- cross validation