Multi-objective metamorphic follow-up test case selection for deep learning systems.
Aitor ArrietaPublished in: GECCO (2022)
Keyphrases
- learning systems
- multi objective
- test case selection
- test cases
- evolutionary algorithm
- optimization algorithm
- particle swarm optimization
- multi objective optimization
- learning resources
- computer supported
- learning process
- objective function
- learning materials
- multiple objectives
- learning environment
- genetic algorithm
- machine learning
- conflicting objectives
- learning styles
- nsga ii
- support systems
- multi objective optimization problems
- m learning
- machine learning systems
- learning activities
- multimedia
- multi objective evolutionary algorithms
- human learning
- technology enhanced learning systems