A decomposition-based multi-objective evolutionary algorithm with Q-learning for adaptive operator selection.
Fei XueYuezheng ChenPeiwen WangYunsen YeJinda DongTingting DongPublished in: J. Supercomput. (2024)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- benchmark test
- reinforcement learning
- multi objective optimization
- multi agent
- multi objective evolutionary
- learning algorithm
- neural network
- nsga ii
- multi objective optimization problems
- machine learning
- dynamic programming
- state space
- rough sets
- multiobjective optimization