Machine Learning for Determining the Transition Point in Hybrid Metaheuristics.
Antonio Bolufé RöhlerYe YuanPublished in: CEC (2021)
Keyphrases
- machine learning
- metaheuristic
- particle swarm optimization
- model selection
- knowledge acquisition
- data analysis
- optimization problems
- machine learning methods
- artificial intelligence
- learning systems
- inductive learning
- computational intelligence
- text mining
- computational biology
- sample points
- scatter search
- active learning
- supervised machine learning
- pattern recognition
- nature inspired
- learning problems
- inductive logic programming
- explanation based learning
- single point
- information systems
- learning tasks
- statistical methods
- unsupervised learning
- database
- natural language processing
- supervised learning
- information extraction
- support vector machine
- knowledge discovery
- natural language
- decision trees