Resource allocation for Hyphantria cunea invasive management:a novel simulation-based optimization model

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2024-10-20 DOI:10.1016/j.apm.2024.115771
Shuhua Zhang , Ming Liu , Peng Wang
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Abstract

In this study, we propose an integrated mixed-integer programming (MIP) model for allocating a limited budget to control a destructive invasive insect endangering the forest vegetation, Hyphantria cunea (H. cunea). Our model seeks to minimize the number of infected and dead trees within a preset planning period, factoring in various infestation scenarios, migration behaviors, resource limitations, intervention timing, and monitoring capabilities. Our modeling framework is novel in the sense that it depicts the transmission process of H. cunea as an infectious compartmental model. Our optimization model is also meaningful because it innovatively bridges the spread dynamics of H. cunea and the optimal resource allocation by using the time-varying number of infected trees that can be accepted in testing and surveillance. Our numerical test data and parameter settings have been collected from large-scale field surveys on H. cunea in Jiangsu Province over the past three years. The scenarios-based method offers significant computational advantages in searching for the best alternatives to real-world size problems in a rational time. Furthermore, our test results specify that the proposed model can not only aid in controlling H. cunea, but also can be adopted as a potential tool for managing other invasive species in the future.
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胭脂虫入侵管理的资源分配:基于模拟的新型优化模型
在本研究中,我们提出了一个综合混合整数编程(MIP)模型,用于分配有限的预算,控制危害森林植被的破坏性入侵昆虫楔象(Hyphantria cunea)。我们的模型力求在预设规划期内最大限度地减少受感染树木和死亡树木的数量,同时考虑到各种虫害情况、迁移行为、资源限制、干预时机和监测能力。我们的建模框架具有新颖性,因为它将楔形叶蝉(H. cunea)的传播过程描绘成了一个传染性分区模型。我们的优化模型也很有意义,因为它利用在检测和监控中可接受的受感染树木的时变数量,创新性地将楔尾花叶病毒的传播动态与最优资源分配联系起来。我们的数值测试数据和参数设置均来自过去三年在江苏省开展的大规模楔尾杉树实地调查。基于情景的方法具有显著的计算优势,能在合理的时间内为现实世界的大小问题寻找最佳替代方案。此外,我们的测试结果表明,所提出的模型不仅可以帮助控制楔尾蛙,还可以作为未来管理其他入侵物种的潜在工具。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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