Genetic algorithm to optimize unloading of large containers vessel in port of Tripoli-Lebanon
Conférence : Communications avec actes dans un congrès international
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.