Crossmark

A two stage learning based knowledge driven evolutionary algorithm for energy efficient distributed hybrid flow shop scheduling problem with heterogeneous factories

Crossref DOI link: https://doi.org/10.1038/s41598-026-43257-6

Published Online: 2026-05-06

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

Authors

Zhang, Zi-Qi

Bao, Hua-Dong

Xu, Yan-Xuan

Qian, Bin

Hu, Rong
Funding

Funding for this research was provided by:

National Natural Science Foundation of china (72201115)

Yunnan Provincial Outstanding Youth Science Foundation (202501AW070010)

Applied Basic Research Foundation of Yunnan Province (202201BE070001-050)

National Natural Science Foundation of China (62173169)

Applied Basic Research Key Project of Yunnan (202201AS070030)

Construction Project of Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan Province (KKPH202403003)
License Information

Text and Data Mining valid from 2026-05-06

Accepted Manuscript valid from 2026-05-06
More Information

Article History

Received: 23 May 2025

Accepted: 3 March 2026

First Online: 6 May 2026

Declarations

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below