A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters.
Tianhua JiangLu LiuHuiqi ZhuPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- job shop scheduling
- learning algorithm
- cost function
- optimal solution
- energy saving
- dynamic programming
- probabilistic model
- job shop scheduling problem
- k means
- worst case
- energy consumption
- objective function
- optimization algorithm
- clustering method
- computational complexity
- simulated annealing
- tree structure
- multi agent
- similarity measure