A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference36 articles.
1. A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms;Ahmadi;Computers & Operations Research,2016
2. A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility;Cao;IEEE Transactions on Automation Science and Engineering,2021
3. A memetic algorithm for energy-efficient scheduling of integrated production and shipping;Chen;International Journal of Computer Integrated Manufacturing,2022
4. A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem;Chen;Computers & Industrial Engineering,2020
5. Robust scheduling for flexible machining job shop subject to machine breakdowns and new job arrivals considering system reusability and task recurrence;Duan;Expert Systems with Applications,2022
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