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Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

机译:使用TOPSIS和遗传算法分析优化方案的巴西铁路系统中的路段效率

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摘要

A railway system plays a significant role in countries with large territorial dimensions. The Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper investigates the extreme performances of BRCS through a new hybrid model that combines TOPSIS with a genetic algorithm for estimating the weights in optimized scenarios. In a second stage, the significance of selected variables was assessed. The transport of any type of cargo, a centralized control of the operation, and sharing the railway track pushing competition, and the diversification of services are significant for high performance. Public strategies are discussed.
机译:铁路系统在领土规模较大的国家中起着重要作用。但是,巴西铁路货运系统(BRCS)专注于出口固体散装货物。本文通过将TOPSIS与遗传算法相结合的新混合模型来研究BRCS的极端性能,该模型可用于估计优化方案中的权重。在第二阶段,评估所选变量的重要性。对于高性能而言,任何类型的货物运输,集中控制操作以及共享铁路推挤竞争以及服务的多样化都是很重要的。讨论了公共策略。

著录项

  • 来源
    《Transportation Research》 |2020年第3期|101858.1-101858.19|共19页
  • 作者

  • 作者单位

    Univ Fed Rio de Janeiro COPPEAD Grad Business Sch Ctr Studies Logist Infrastruct & Management Rua Pascoal Lemme 355 Cidade Univ BR-21941918 Rio De Janeiro RJ Brazil;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    TOPSIS; Genetic algorithm; Efficiency; Railway sections; Railroads; Brazil;

    机译:TOPSIS;遗传算法效率;铁路路段;铁路;巴西;

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