A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
Author:
Affiliation:
1. School of Automation, Wuhan University of Technology, Wuhan, People's Republic of China
2. School of Mechanical Engineering, Anhui Polytechnic University, Wuhu, People's Republic of China
Funder
National Natural Science Foundation of China
Open Research Fund of AnHui Province Key Laboratory of Detection Technology and Energy Saving Devices of AnHui Polytechnic University
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2031331
Reference71 articles.
1. A two-stage three-machine assembly scheduling problem with a truncation position-based learning effect
2. Bi-level genetic algorithms for a two-stage assembly flow-shop scheduling problem with batch delivery system
3. Minimizing makespan in a three-stage hybrid flow shop with dedicated machines
4. Decomposition based hybrid VNS–TS algorithm for distributed parallel factories scheduling with virtual corporation
5. A survey of multi-factory scheduling
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