TY  - JOUR
T1  - A New Meta-Heuristic Approach to Solve the Hybrid Berth Allocation Problem
AU - Issam, El Hammouti AU - Azza, Lajjam AU - Mohamed, El Merouani 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 12
SP  - 4132
EP  - 4138
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4132.4138
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4132.4138
KW  - Meta-heuristic
KW  -container terminal
KW  -berth allocation problem
KW  -bat-inspired algorithm
KW  -planning problems
KW  -demonstrate
AB  - The Berth Allocation Problem (BAP) is one of the most important operational logistic problems
encountered in a container terminal. It aims to assign vessels to berthing areas along the quay and it depends
generally on two main factors the type of ships arrival (static or dynamic) and the type of berth space (discrete,
continuous or hybrid). In this study, we addressed the problem in the dynamic hybrid case and we developed
a recent meta-heuristic Based on the Bat-inspired Algorithm (BA) as a resolution approach. Finally,
computational experiments and comparisons are realized to demonstrate the quality of our results.
ER  -