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Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming

Expert Systems with Applications

Journal Article

Y. Zeiträg J.R. Figueira

N. Horta

R. Neves

Publication

Year of Publication:
2022
Volume:
209

Identifiers

ISSN:
09574174
Other Numbers:
2-s2.0-85135322531

Locators

DOI:
10.1016/j.eswa.2022.118194

Sustainable Development Goals

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Av. Rovisco Pais, 1049 - 001 Lisboa
Tel: +351 21 841 77 29 (ext. 1729)
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Sponsored by
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Financed by Portuguese funds through the 
FCT - Foundation for Science and Technology, I.P., 
under the projects UIDB/00097/2020 and UIDP/00097/2020

Host Institution
IST Lisboa