Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments-Reference-Cited by-同舟云学术

Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments

Published:2022-05 Issue:5 Volume:33 Page:2168-2180
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Linli¹^ORCID,Li Dewei¹^ORCID,Jia Shuai¹,Shao Haibin¹^ORCID

Affiliation:

1. Department of Automation, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China

Funder

Key Research and Development Project in Guangdong Province

Natural Science Foundation of Shanghai

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/9766240/09698837.pdf?arnumber=9698837

Reference31 articles.

1. A least wasted first heuristic algorithm for the rectangular packing problem

2. BIN-PACKING ALGORITHMS FOR PERIODIC TASK SCHEDULING

3. Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

4. fuzzy approach for the variable cost and size bin packing problem allowing incomplete packing

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