Proximal Policy Optimization Algorithm for Multi-objective Disassembly Line Balancing Problems-Reference-Cited by-同舟云学术

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Proximal Policy Optimization Algorithm for Multi-objective Disassembly Line Balancing Problems

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 Australian & New Zealand Control Conference (ANZCC)
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Author:

Zhong ZhaoKai¹,Guo XiWang¹,Zhou MengChu²,Wang Jiacun³,Qin Shujin⁴,Qi Liang⁵

Affiliation:

1. Liaoning Petrochemical University,Information and Control,Fushun,China

2. New Jersey Institute of Technology,ECE Department,Newark,NJ,USA,07102-1982

3. Monmouth University,Computer Science and Software Eng.,Wes Long Branch,USA

4. Shangqiu Normal University,Economics and Management,Shangqiu,China

5. Shandong University of Science and Technology,Computer Intelligent Science and Tech.,Qingdao,China

Funder

Natural Science Foundation of Shandong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9966854/9966858/09966864.pdf?arnumber=9966864

Reference51 articles.

1. Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

2. Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system

3. Inventory Management in Multi-Product, Multi-Demand Disassembly Line using Reinforcement Learning;tuncel;Proc Int Conf Ind Engine,2012

4. Implementing an Online Scheduling Approach for Production with Multi Agent Proximal Policy Optimization (MAPPO)

5. Proximal policy optimization algorithms;schulman,2017

Cited by 2 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. Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach;IEEE Transactions on Industrial Informatics;2024-04

2. Reinforcement Learning for Disassembly System Optimization Problems: A Survey;International Journal of Network Dynamics and Intelligence;2023-03-27

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