Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling-Reference-Cited by-同舟云学术

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Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling

Published:2024-01 Issue:1 Volume:54 Page:201-211
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Li Rui¹^ORCID,Gong Wenyin²^ORCID,Wang Ling¹^ORCID,Lu Chao²^ORCID,Dong Chenxin³

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, China

2. School of Computer Science, China University of Geosciences, Wuhan, China

3. School of Mechanical and Automotive Engineering, Qingdao Hengxing University of Science and Technology, Qingdao, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10364887/10242078.pdf?arnumber=10242078

Reference50 articles.

1. A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop

2. An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process

3. A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling

4. A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers

5. Dual-Space Co-Evolutionary Memetic Algorithm for Scheduling Hybrid Differentiation Flowshop With Limited Buffer Constraints

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1. Energy-saving scheduling strategy for variable-speed flexible job-shop problem considering operation-dependent energy consumption;Expert Systems with Applications;2024-12

2. A double-layer Q-learning driven memetic algorithm for integrated scheduling of procurement, production and maintenance with distributed resources;Applied Soft Computing;2024-11

3. A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations;Computers & Industrial Engineering;2024-10

4. Formulations and heuristic for the long-term preventive maintenance order scheduling problem;Computers & Operations Research;2024-10

5. A single-individual based variable neighborhood search algorithm for the blocking hybrid flow shop group scheduling problem;Egyptian Informatics Journal;2024-09

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