A Knowledge-Based Cooperative Differential Evolution Algorithm for Energy-Efficient Distributed Hybrid Flow-Shop Rescheduling Problem
Author:
Affiliation:
1. School of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, China
2. College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Abstract
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province, China
Publisher
MDPI AG
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering
Link
https://www.mdpi.com/2227-9717/11/3/755/pdf
Reference50 articles.
1. A review of energy-efficient scheduling in intelligent production systems;Gao;Complex Intell. Syst.,2020
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3. Distributed scheduling problems in intelligent manufacturing systems;Fu;Tsinghua Sci. Technol.,2021
4. Hybrid artificial bee colony algorithm for a parallel batching distributed flow-shop problem with deteriorating jobs;Li;IEEE Trans. Cybern.,2020
5. Zhao, F., Xu, Z., Wang, L., Zhu, N., Xu, T. (2022). A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem. IEEE Trans. Ind. Inform., 1–12. early access.
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