Ant Colony Optimization for Solving the Container Stacking Problem: Case of Le Havre (France) Seaport Terminal

Jalel Euchi, Riadh Moussi, Ndèye Fatma Ndiaye, A. Yassine
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引用次数: 15

Abstract

In this paper, the authors study the Container Stacking Problem (CSP) which is one of the most important problems in marine terminal. An optimization model is developed in order to determine the optimal storage strategy for various container-handling schedules. The objective of the model is to minimize the distance between vessel berthing location and the storage positions of containers. The CSP is solved by an efficient ant colony algorithm based on MAX-MIN ant system variant. The performance of the algorithm proposed is verified by a comparison with ILOG CPLEX for small-sized instances. In addition, numerical results for real-sized instances proved the efficiency of the algorithm. KeywORdS Ant Colony Algorithm, Container Staking Problem (CSP), Port Container Terminal
求解集装箱堆垛问题的蚁群算法——以法国勒阿弗尔海港码头为例
本文对集装箱堆垛问题(CSP)进行了研究,该问题是海运码头最重要的问题之一。为了确定各种集装箱装卸计划的最优存储策略,建立了一个优化模型。该模型的目标是使船舶靠泊位置与集装箱存放位置之间的距离最小。采用基于MAX-MIN蚁群系统变量的高效蚁群算法求解CSP。通过与ILOG CPLEX小实例的比较,验证了该算法的性能。此外,实际实例的数值结果也证明了该算法的有效性。关键词蚁群算法,集装箱桩桩问题,港口集装箱码头
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