A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking
Crossref DOI link: https://doi.org/10.1007/s00291-019-00567-8
Published Online: 2019-11-18
Published Print: 2019-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Benda, Frank http://orcid.org/0000-0001-5553-1683
Braune, Roland
Doerner, Karl F.
Hartl, Richard F.
Funding for this research was provided by:
University of Vienna
Text and Data Mining valid from 2019-11-18
Version of Record valid from 2019-11-18
Article History
Received: 31 December 2017
Accepted: 5 November 2019
First Online: 18 November 2019