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Reward Shaping for Job Shop Scheduling

; ; ;

In
Machine learning, optimization, and data science / Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton, editors. - Part 1:, Seiten/Artikel-Nr: 197-211

Konferenz/Event:9. International Conference on Machine Learning, Optimization, and Data Science , Grasmere , UK , LOD 2023 , 2023-09-22 - 2023-09-26

ImpressumCham : Springer

Umfang197-211

ISBN978-3-031-53968-8, 978-3-031-53969-5

ReiheLecture notes in computer science ; 14505

Online
DOI: 10.1007/978-3-031-53969-5_16

URL: https://publications.rwth-aachen.de/record/980669/files/980669.pdf

Einrichtungen

  1. Lehrstuhl für Informations-, Qualitäts- und Sensorsysteme in der Produktion (417510)
  2. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)

Projekte

  1. FAIRWork - Flexibilization of complex Ecosystems using Democratic AI based Decision Support and Recommendation Systems at Work (101069499) (101069499)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85187663486
WOS Core Collection: WOS:001217088300016

Interne Identnummern
RWTH-2024-02447
Datensatz-ID: 980669

Beteiligte Länder
Germany

 GO

NationallizenzNationallizenz ; SCOPUS
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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
417200
417510
 Record created 2024-03-01, last modified 2026-06-30
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