Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events.
Hao WangJunfu ChengChang LiuYuanyuan ZhangShunfang HuLiangyin ChenPublished in: Appl. Soft Comput. (2022)
Keyphrases
- multi objective
- reinforcement learning
- evolutionary algorithm
- multiobjective optimization
- optimization algorithm
- main contribution
- pareto optimal
- particle swarm optimization
- trade off
- multiple objectives
- genetic algorithm
- social media
- dynamic environments
- neural network
- optimal policy
- theoretical framework
- differential evolution
- function approximation
- multi objective optimization
- nsga ii
- machine learning