Genetic algorithm to optimize unloading of large containers vessel in port of Tripoli-Lebanon
Author : Ali SKAF (FEMTO-ST)
Conférence : Communications avec actes dans un congrès international - 23/04/2019 - International Conference on Control, Decision and Information Technologies
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.