Flowshop scheduling with artificial neural networks
Jatinder N.D. Gupta, Arindam Majumder and Dipak Laha
| Year of publication: |
2020
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|---|---|
| Authors: | Gupta, Jatinder N. ; Majumder, Arindam ; Laha, Dipak |
| Published in: |
Journal of the Operational Research Society. - London : Taylor and Francis, ISSN 1476-9360, ZDB-ID 2007775-0. - Vol. 71.2020, 10, p. 1619-1637
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| Subject: | ANN | BFGS update of Quasi-Newton algorithm | computational comparisons | flowshop heuristics | Flowshop scheduling | gradient descent with adaptive learning algorithm | L-M algorithm | Algorithmus | Algorithm | Neuronale Netze | Neural networks | Heuristik | Heuristics | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Evolutionärer Algorithmus | Evolutionary algorithm | Lernprozess | Learning process | Produktionssteuerung | Production control | Künstliche Intelligenz | Artificial intelligence |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/01605682.2019.1621220 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012314370