An Improved Q-Learning Algorithm for Human-robot Collaboration Two-sided Disassembly Line Balancing Problems-Reference-Cited by-同舟云学术

An Improved Q-Learning Algorithm for Human-robot Collaboration Two-sided Disassembly Line Balancing Problems

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Liu YiZhi¹,Zhou MenChu²,Guo Xiwang¹

Affiliation:

1. Liaoning Petrochemical University,Fushun,China

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

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945263.pdf?arnumber=9945263

Reference45 articles.

1. Optically computed optical coherence tomography for volumetric imaging

2. Entrainment of cerebellar Purkinje cell spiking activity using pulsed ultrasound stimulation

3. Stochastic Hybrid Discrete Grey Wolf Optimizer for Multi-objective Disassembly Sequencing and Line Balancing Planning in Disassembling Multiple Products;guo;IEEE Transactions on Automation Science and Engineering Man and Cybernetics Part B (Cybernetics),2021

4. Multi-objective Discrete Brainstorming Optimizer for Stochastic Disassembly Line Balancing Problem Subject to Disassembly Failure

5. Multiresource-Constrained Selective Disassembly With Maximal Profit and Minimal Energy Consumption

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