An improved reinforcement learning approach to solve flow job scheduling problems.
Dapeng HuXuesong JiangJian WangPublished in: HPCC/DSS/SmartCity (2020)
Keyphrases
- scheduling problem
- reinforcement learning
- processing times
- flowshop
- job shop
- single machine
- identical machines
- limited capacity
- setup times
- strongly np hard
- machine learning
- parallel machine scheduling problem
- tabu search
- sequence dependent setup times
- maximum lateness
- minimizing makespan
- multi agent
- deteriorating jobs
- identical parallel machines
- scheduling decisions
- flow patterns
- model free
- single machine scheduling problem
- resource constrained
- reinforcement learning algorithms
- job shop scheduling problem
- flow field
- markov decision processes
- metaheuristic
- state space
- np hard
- computational complexity
- image sequences