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Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization
Flexible manufacturing system (FMS) enhances the firm’s flexibility and responsiveness to the ever-changing customer demand by providing a fast product diversification capability. Performance of an FMS is highly dependent upon the accuracy of scheduling policy for the components of the system, such...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS One |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5338791/ https://ncbi.nlm.nih.gov/pubmed/28263994 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0169817 |
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