一项基于多目标水母搜索算法的区域空中救援中心选址研究
Yong Liao1, Yiyang Zhao1, Na Fang1
1College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.
Biomimetics (Basel, Switzerland)
|June 27, 2023
概括
这项研究引入了一种选择空中紧急救援站地点的新模型. 它优化了建筑成本,响应时间和覆盖范围,增强了区域应急响应能力.
科学领域:
- 运营研究 运营研究
- 应急管理 应急管理
- 空间分析 空间分析
背景情况:
- 空中紧急救援对国家力量和社会紧急响应至关重要.
- 现有的模型往往侧重于单一目标,限制了全面的选址选择.
- 加强区域空中救援能力需要先进的规划和资源部署.
研究的目的:
- 为空中紧急救援中心开发一种新的多目标定位模型.
- 设计一个有效的算法来解决多目标优化问题.
- 为区域空中救援站选址提供可行和准确的方法.
主要方法:
- 建立了一个多目标优化功能,包括施工成本,响应时间和辐射范围.
- 开发了一个辐射功能,以评估候选机场的覆盖范围.
- 用多目标水母搜索算法 (MOJS) 找到帕雷托最佳解决方案.
- 使用MATLAB和ArcGIS工具进行算法实现和空间分析.
主要成果:
- 拟议的模型有效地整合了选址的多个目标.
- MOJS算法成功地确定了帕雷托最佳解决方案.
- 在中国的案例研究分析表明,该模型能够实现所需的选址目标.
- 使用ArcGIS可视化了选址结果,并优先考虑了建设成本.
结论:
- 新的多目标定位模型为空中紧急救援站的选择提供了一个强大的框架.
- 综合方法通过优化关键参数来增强区域应急响应能力.
- 这项研究为未来的空中救援基础设施规划提供了可行和准确的方法.
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