A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems.
Liqun WenHongfeng WangPublished in: CEC (2024)
Keyphrases
- multi objective optimization problems
- meta learning
- evolutionary algorithm
- multi objective
- multi objective optimization
- differential evolution
- inductive learning
- nsga ii
- learning tasks
- evolutionary computation
- model selection
- optimization problems
- fitness function
- decision trees
- genetic algorithm
- genetic programming
- machine learning
- machine learning algorithms
- mutation operator
- optimization algorithm
- multi objective evolutionary algorithms
- feature selection
- simulated annealing
- genetic operators
- particle swarm optimization
- base classifiers
- test problems
- multiobjective optimization
- computational intelligence
- test data
- e learning
- data mining
- bi objective
- metaheuristic