A Multi-objective method to solve a container terminal problem
Résumé
The river and maritime transport represents an attractive alternative to land and air transport. The containerization allows the industries to save costs thanks to the standardization of dimensions. The container terminal has to manage container traffic at the crossroads of land road, railway. In this paper, we propose to optimize, simultaneously, the storage problem and the quayside transport problem. In a space storage, it exists several blocks and each one has its storage cost. The first aim is to minimize the cost storage of containers. These latter are loaded into vessels, the vehicles have to transport the containers from blocks to quays (of vessels). So, the second aim consists to minimize the distance between the space storage and the quays. The optimization methods of operations research in container terminal have become more and more important in recent years. Objective methods are necessary to support decisions. To solve this multiobjective problem, we develop a resolution method which is a metaheuritic approach called multiobjective ant colony optimization. The second resolution method is the multiobjective ant colony optimization with a local search.