An intelligent optimization approach for storage space allocation at seaports: A case study

Gamal Abd El-Nasser A. Said, El-Sayed M. El-Horbaty
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引用次数: 5

Abstract

Storage space allocation problem at container terminals is NP-hard combinatorial optimization problem. This paper proposes a new approach based on genetic algorithm to optimize the solution for storage space allocation problem in container terminal at seaports. A new mathematical model is formulated to avoid bottlenecks in container yard operations, and to minimize vessels service time in port. Also, a simulation model using discrete event simulation tool is conducted to optimize the solution for storage space allocation problem is presented in this study. The proposed approach is applied on a real case study data of container terminal at Damietta port. The computational results show the effectiveness of the proposed approach.
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港口存储空间分配的智能优化方法:一个案例研究
集装箱码头存储空间分配问题是一个NP-hard组合优化问题。本文提出了一种基于遗传算法的港口集装箱码头存储空间分配问题的优化求解方法。为了避免集装箱堆场作业中的瓶颈,最大限度地减少船舶在港服务时间,建立了新的数学模型。同时,利用离散事件仿真工具建立仿真模型,对存储空间分配问题进行优化求解。将该方法应用于达米埃塔港集装箱码头的实际案例研究数据。计算结果表明了该方法的有效性。
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