Reinforcement Learning-Based Multiobjective Evolutionary Algorithm for Mixed-Model Multimanned Assembly Line Balancing Under Uncertain Demand-Reference-Cited by-同舟云学术

Reinforcement Learning-Based Multiobjective Evolutionary Algorithm for Mixed-Model Multimanned Assembly Line Balancing Under Uncertain Demand

Published:2023 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Zhang Zikai¹^ORCID,Tang Qiuhua¹^ORCID,Chica Manuel²^ORCID,Li Zixiang¹

Affiliation:

1. the Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, and the Precision Manufacturing Institute, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China

2. Department of AI and Computer Science, Andalusian Research Institute in Data Science and Computational Intelligence, DaSCI, University of Granada, Granada, Spain

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Andalusian Government and the European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/10008106.pdf?arnumber=10008106

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems;Expert Systems with Applications;2024-12

2. A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem;Neurocomputing;2024-09

3. A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture;Swarm and Evolutionary Computation;2024-06

4. Model and heuristics for the multi-manned assembly line worker integration and balancing problem;International Journal of Production Research;2024-05-10

5. Adaptive operator selection with dueling deep Q-network for evolutionary multi-objective optimization;Neurocomputing;2024-05