多路径传播过程的情景意识控制:适用于生物入侵
Prathyush Sambaturu1, Manisha Sudhir2, Hongze Chen2
1Department of Computer Science, University of Oxford, Oxford OX1 3QD, Oxfordshire, United Kingdom.
PNAS nexus
|March 9, 2026
概括
这项研究引入了一种新的方法,用于控制疾病或害虫在网络中的传播. 该方法优化了在特定地区的干预,以尽量减少在预算和时间限制的范围内扩散.
科学领域:
- 网络科学 网络科学
- 控制理论 控制理论 控制理论
- 数学建模的数学建模
背景情况:
- 控制疾病爆发和网络入侵等传播过程是复杂的.
- 现实世界的场景涉及多种传播途径和动态网络变化.
研究的目的:
- 为区域范围的干预制定最佳的控制策略,以尽量减少传播.
- 解决包括预算,干预延迟和场景特定知识在内的限制.
主要方法:
- 使用了整数线性编程和样本平均值近似方法.
- 该方法适用于广泛的扩散模型.
- 理论性能保证是使用双标准近似方法建立的.
主要成果:
- 该方法在模拟农业害虫传播方面实现了近乎最佳的解决方案.
- 它的表现始终优于标准基线方法.
- 具体情景策略显著减少了预算限制下的差距.
结论:
- 开发的方法为控制网络扩散提供了有效和稳定的结果.
- 早期和有针对性的干预对于在不确定性和预算限制下管理扩散至关重要.
- 这种方法为公共卫生和生态管理提供了有价值的工具.
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