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A GRASP approach for solving the Blocks Relocation Problem with Stowage Plan

机译:一种掌握与存放计划块搬迁问题的掌握方法

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摘要

In this paper, we present a method for finding high quality solutions for the Blocks Relocation Problem with Stowage Plan (BRLP). The interest for this problem comes from the fact that previous research has shown that a significant amount of savings can be achieved, if the process of specifying the loading sequence takes into account both the state of the bay and the stowage plan. In this work, we propose a two step greedy algorithm for the BRLP. In the first one, a heuristic is used to select the next container to be loaded into the vessel. In the second step, a new heuristic is used to relocate obstructing containers. The solutions acquired in this way are improved using a correction procedure. The idea of the correction procedure is to use a heuristic approach to recognize undesirable properties of a solution and remove them. Finally, the method is extended towards the GRASP metaheuristic. Our computational experiments show that the proposed approach manages to significantly outperform existing methods for the BRLP.
机译:在本文中,我们介绍了一种为块的块重定位问题找到高质量解决方案的方法(BRLP)。对于此问题的兴趣来自于前面的研究表明,如果指定装载顺序的过程考虑到托架的状态和存放计划的过程,则可以实现大量的节省。在这项工作中,我们为BRLP提出了两步贪婪算法。在第一个中,启发式机器用于选择要加载到船舶中的下一个容器。在第二步中,使用新的启发式旨在重新定位阻碍容器。以这种方式获取的解决方案使用校正程序改进。校正程序的思想是使用启发式方法来识别解决方案的不希望的性质并将其删除。最后,该方法延伸到掌握成血管训练。我们的计算实验表明,建议的方法管理以显着优于BRLP的现有方法。

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