An extended Akers graphical method with a biased random-key genetic algorithm for job-shop scheduling
José Fernando Gonçalves and Mauricio G. C. Resende
| Year of publication: |
2014
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|---|---|
| Authors: | Gonçalves, José Fernando ; Resende, Mauricio G. C. |
| Published in: |
International transactions in operational research : ITOR ; a journal of the International Federation of Operational Research Societies (IFORS). - Oxford : Wiley, ISSN 0969-6016, ZDB-ID 1213721-2. - Vol. 21.2014, 2, p. 215-246
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| Subject: | job-shop | scheduling | genetic algorithms | biased random-key genetic algorithm | heuristics | random keys | graphical approach | Evolutionärer Algorithmus | Evolutionary algorithm | Heuristik | Heuristics | Theorie | Theory | Scheduling-Verfahren | Scheduling problem | Produktionssteuerung | Production control |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10010256680