Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV
Author:
Funder
National Natural Science Foundation of China
State Key Lab of Digital Manufacturing Equipment and Technology
Publisher
Elsevier BV
Reference45 articles.
1. A time window approach to simultaneous scheduling of machines and material handling system in an FMS;Bilge;Operations Research,1995
2. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Annals of Operations Research,1993
3. Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling;Cao;Swarm and Evolutionary Computation,2023
4. An MILP for scheduling problems in an FMS with one vehicle;Caumond;European Journal of Operational Research,2009
5. A deep reinforcement learning framework based on an attention mechanism and disjunctive graph embedding for the job-shop scheduling problem;Chen;IEEE Transactions on Industrial Informatics,2023
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