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Budget Allocation for Dredging Projects Selection to Maximize the Waterway System Capacity Improvement

机译:疏Dr项目选择的预算分配,以最大程度提高航道系统的能力

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This paper concerns budget allocation to dredging projects at the U.S. Army Corps of Engineers.Among a large number of projects requested, only a subset may be selected for funding. Thebenefit of one dredging project depends on other projects in order to maintain the systemcarrying capacity; thereby selecting a number of ports among all potentials should be consideredas an interdependent problem. This paper proposes integer programming models and solutionalgorithms to select dredging projects to fund. The models consider the waterway networktopology to improve the overall system capacity. The solution algorithms ensure efficientcomputational performance and quality of solutions. The models and algorithms are tested withthe Great Lakes region and inland waterways data and are shown to significantly improve on thecurrent practices, especially when the budget becomes tight.
机译:本文涉及美国陆军工程兵团疏dr项目的预算分配。 在所请求的大量项目中,只能选择一个子集进行资助。这 一个疏project项目的收益取决于其他项目,以维护系统 承载能力;因此,应考虑在所有电位中选择多个端口 作为一个相互依赖的问题。本文提出了整数规划模型和解决方案 选择疏projects项目进行资助的算法。模型考虑了水路网络 拓扑以提高整体系统容量。解决方案算法可确保高效 计算性能和解决方案质量。模型和算法经过测试 大湖区和内陆水道数据,并显示出显着改善 当前的做法,尤其是在预算紧张时。

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