The Development Of A Decision Support Model For The Problem Of Berths Allocation In Containers Terminal Using A Hybrid Of Genetic Algorithm And Simulated Annealing

The berths allocation problem (BAP), aims to allocate the space along the waterfront, for incoming ships in a container terminal, to minimize an objective function. In this paper, we propose a multi-objective model for decision support, for the assignment problem the incoming ships on the quays in a containers terminal. The model we propose, seeks an assignment that simultaneously minimizes the time spent by vessels in the port and the distances traveled by containers imports/exports. We propose a mathematical model to achieve our goals by respecting imposed constraints. This model is solved by using, a hybrid of genetic algorithm and simulated annealing. Calculation results are presented in this article.