An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems.
Hanxiao LiKaizhou GaoPei-Yong DuanJun-Qing LiLe ZhangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2023)
Keyphrases
- scheduling problem
- artificial bee colony algorithm
- flowshop
- redundancy allocation
- tabu search
- series parallel
- hybrid algorithm
- precedence constraints
- single machine
- setup times
- artificial bee colony
- processing times
- squeaky wheel
- sequence dependent setup times
- np hard
- particle swarm optimization algorithm
- reinforcement learning
- job shop scheduling problem
- special case
- strongly np hard
- job shop
- job shop scheduling
- unrelated parallel machines
- release dates
- parallel machines
- optimization algorithm
- state space
- combinatorial optimization
- search algorithm
- maximum lateness
- particle swarm optimization
- learning rate
- motif discovery
- neural network
- lot streaming
- optimal solution
- swarm intelligence