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Testing and Evaluation of a Multi-Commodity Multi-Modal Network Flow Model for Disaster Relief Management

机译:用于救灾管理的多商品多模式网络流模型的测试和评估

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The results of the testing of an optimization model in disaster relief management are presented. The problem is a large-scale multi-commodity, multi-modal network flow problem with time windows. Due to the nature of this problem, the size of the optimization model grows extremely rapidly as the number of modes and/or commodities increase. The formulation is based on the concept of a time-space network. Two heuristic algorithms are developed. One exploits an inherent network structure of the problem with a set of side constraints and the other is an interactive fix-and-run heuristie. The findings of the model-testing and a wide range of sensitivity analyses using an artificially generated data set are presented. Both solution procedures prove to be efficient and effective in providing close to optimal solutions.
机译:介绍了救灾管理中优化模型的测试结果。问题是带有时间窗的大规模多商品,多模式网络流量问题。由于此问题的性质,随着模式和/或商品数量的增加,优化模型的大小将迅速增长。该表述基于时空网络的概念。开发了两种启发式算法。一个利用带有一组附带条件的问题的固有网络结构,另一个利用交互式的修复和运行技巧。介绍了模型测试的结果以及使用人工生成的数据集进行的各种灵敏度分析。事实证明,这两种解决方案过程都可以有效地提供接近最佳的解决方案。

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