An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation

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DOI:	https://doi.org/10.1080/00207543.2024.2434948
URL:	https://www.tandfonline.com/doi/10.1080/00207543.2...
Additional URL:	https://www.researchgate.net/publication/386408573...
URN:	urn:nbn:de:bsz:180-madoc-685151
Document Type:	Article
Year of publication Online:	2024
Date:	3 December 2024
The title of a journal, publication series:	International Journal of Production Research
Volume:	tba
Issue number:	tba
Page range:	1-30
Place of publication:	London
Publishing house:	Taylor & Francis
ISSN:	0020-7543 , 1366-588X
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet 330 Economics 600 Technology 620 Engineering

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BASE: Bubak, Alexander ; Rolf, Benjamin ; Reggelin, Tobias ; Lang, Sebastian ; Stuckenschmidt, Heiner

Google Scholar: Bubak, Alexander ; Rolf, Benjamin ; Reggelin, Tobias ; Lang, Sebastian ; Stuckenschmidt, Heiner

ORCID: Bubak, Alexander ; Rolf, Benjamin ; Reggelin, Tobias ; Lang, Sebastian ; Stuckenschmidt, Heiner

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