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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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The water inflow rate into a storage tank is not constant but increases over time. Initially, the pump delivers water at a rate of 5 L/min. However, the inflow rate increases by 2 L/min for each additional minute due to rising pressure or system adjustments. This scenario can be described mathematically by a linear function:It is necessary to integrate the inflow rate function to measure the total volume of water added to the tank over time. The total water volume V(t) is obtained by performing...
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相关实验视频

Updated: Mar 9, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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研究一个模糊的编程模型和算法来分配泊位,考虑时间变化的水深.

Di Liu1, Botang Li2, Mengchi Li3

  • 1School of Sciences and Arts, Guangzhou Maritime University, Guangzhou, 510725, China.

Scientific reports
|March 7, 2026
PubMed
概括

本研究引入了一种模糊的编程方法,用于有效地分配船舶泊位,考虑水深等不确定因素. 开发的模型最大限度地降低了总时间成本,并且在各种信任级别中稳定.

关键词:
码头分配的配额.模糊编程是一种模糊的编程.遗传算法 遗传算法 遗传算法模拟的回火算法模拟回火算法时间变化的水深.

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科学领域:

  • 运营研究 运营研究
  • 海上物流的海上物流
  • 优化技术 优化技术

背景情况:

  • 高效的港口运营对于全球贸易至关重要.
  • 由于水深波动等不确定因素,泊位分配是复杂的.
  • 现有的模型可能无法充分解决这些动态条件.

研究的目的:

  • 在不确定性下开发一个高效的泊位分配模型.
  • 为了尽量减少港口运营的总时间成本.
  • 将波动的水深纳入泊位分配决策中.

主要方法:

  • 采用了可信的模糊编程方法.
  • 为泊位分配构建了一个线性整数编程模型.
  • 设计和比较了两个启发式算法,即遗传算法 (GA) 和模拟化 (SA).

主要成果:

  • 拟议的模糊编程模型和GA证明了可行性.
  • 该模型有效地将总时间成本降到最低.
  • 分析显示该模型的稳定性具有不同的信心水平,对分配计划的影响微不足道.

结论:

  • 模糊编程方法为不确定的泊位分配提供了强大的解决方案.
  • 开发的GA是解决这种优化问题的可行和有效方法.
  • 该模型的稳定性确保了在动态港口环境中可靠的泊位分配计划.