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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

89
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
89
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

51
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Manipulation and Analysis01:21

Manipulation and Analysis

28
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
28
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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相关实验视频

Updated: Jul 11, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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一个改进的遗传算法用于解决直升机路由问题,在灾后救援中使用时间窗口.

Kaidong Yang1,2, Peng Duan3, Huishan Yu2

  • 1Shandong Key Laboratory of Optical Communication Science and Technology, Liaocheng University, Liaocheng 252059, China.

Mathematical biosciences and engineering : MBE
|November 3, 2023
PubMed
概括

这项研究优化了直升机发送灾难救援,将其建模为具有时间窗口的车辆路由问题. 一个改进的遗传算法显著减少了直升机的行程距离,提高了救援效率.

关键词:
直升机的调度发送.改进的遗传算法改进了遗传算法灾难后的救援救援工作时间窗口时间窗口.车辆路线问题 车辆路线问题

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相关实验视频

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科学领域:

  • 运营研究 运营研究
  • 灾害管理 灾害管理
  • 人工智能的人工智能

背景情况:

  • 车辆路由问题 (VRP) 在灾后救援行动中至关重要.
  • 在灾难应对中使用直升机为有效的派遣带来了重大后勤挑战.
  • 现有的方法难以应对时间敏感的直升机路线的复杂性.

研究的目的:

  • 为应对在灾后救援中高效发送直升机的挑战.
  • 模拟直升机的调度作为车辆路由问题与时间窗口 (VRPTW) 的变体.
  • 在灾难场景中开发一个优化的算法来解决VRPTW.

主要方法:

  • 开发了一种改进的基因算法 (GA),结合了本地和全球搜索策略.
  • 采用了合作初始化策略,以产生高质量,多样化的初始群体.
  • 该算法使用来自所罗门实例的56个实例进行了测试.

主要成果:

  • 拟议的GA表现出优越的性能,相比Tubu搜索,殖民地优化,混合GA,和模拟化.
  • 该算法实现了旅行距离的平均相对百分比增加,比竞争方法要小得多.
  • 具体来说,与基准算法相比,拟议的算法减少了0.178,0.027,0.075和0.041倍的行程距离.

结论:

  • 开发的改进的GA是解决灾后救援中VRPTW的高效有效方法.
  • 该算法成功地减少了直升机驾驶距离,从而提高了救援行动的效率.
  • 这项研究为优化在时间关键的灾害响应场景中的资源配置提供了有价值的工具.