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Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem

Crossref DOI link: https://doi.org/10.1007/s10845-023-02227-9

Published Online: 2023-10-25

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Wenqiang https://orcid.org/0000-0002-8214-0693
Geng, Huili

Li, Chen

Gen, Mitsuo

Zhang, Guohui

Deng, Miaolei
License Information

Text and Data Mining valid from 2023-10-25

Version of Record valid from 2023-10-25
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Article History

Received: 4 July 2023

Accepted: 23 September 2023

First Online: 25 October 2023

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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