Multi-Constraint Flexible Job Scheduling Algorithm Based on DDQN: A Deep Reinforcement Learning Algorithm for Solving Practical Job Scheduling Problems.
Lin LiuZijing LiangYifan HongKe LiuHui WangPenghui ShangPublished in: ICAICE (2023)
Keyphrases
- scheduling algorithm
- scheduling decisions
- scheduling problem
- processing times
- flowshop
- job shop
- response time
- setup times
- production scheduling
- single machine scheduling problem
- limited capacity
- job shop scheduling problem
- entry level
- identical machines
- maximum lateness
- parallel machine scheduling problem
- total tardiness
- optimal scheduling
- single machine
- scheduling strategy
- job shop scheduling
- release dates
- load balance
- special case
- deteriorating jobs
- graph coloring problems
- sequence dependent setup times
- precedence constraints
- grid environment
- np hard