Genetic algorithm to optimize unloading of large containers vessel in port of Tripoli-Lebanon
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Genetic algorithm to optimize unloading of large containers vessel in port of Tripoli-Lebanon |
| Type de publication | Conference Paper |
| Year of Publication | 2019 |
| Auteurs | Skaf A., Lamrous S., Hammoudan Z., Manier M.-A |
| Conference Name | 2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) |
| Publisher | IEEE Syst Man & Cybernet Soc; IEEE; Centre Etudes Recherchesen Informatique Communicat, Conservatoire Nat Arts Metiers; Centre Etudes Recherchesen Informatique Communicat |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-7281-0521-5 |
| Mots-clés | Case study, genetic algorithm, Optimization, quay crane, scheduling problem |
| Résumé | The quay crane scheduling problem (QCSP) in the Lebanese port (Tripoli) is discussed in this study. It consists in assigning each crane to a set of bays for a given vessel, while sequencing the unloading of these bays. In a previous study, we discussed two exacts methods whose main drawback is the difficulty to obtain results for large instances. That's why, we propose a genetic algorithm which enables us to overcome this and to get quickly near optimal solutions. We have tested and validated our method on real instances from the port of Tripoli. |