A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems.
Yushuang HouHongfeng WangXiaoliang HuangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- scheduling problem
- multi objective evolutionary algorithms
- multi objective
- probability distribution
- benchmark test
- np hard
- multi objective evolutionary
- reinforcement learning
- job shop scheduling problem
- multi objective optimization
- flowshop
- processing times
- evolutionary computation
- fitness function
- optimal policy
- traffic signal
- decision makers
- dynamic programming