An Optimization Methodology for Container Handling Using Genetic Algorithm

Abstract

Container handling problems at container terminals are considered as NP-hard combinatorial optimization problems. In this paper, we propose an optimization methodology for solving container handling problems using genetic algorithm. The proposed methodology is applied on a real case study data of container terminal at Port-said Port in Egypt. The computational results show the effectiveness of the proposed methodology for container terminal where 56% reduction in ship service time (loading/unloading) in port is achieved.