• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

资源受限条件下恐怖应对设施选址的博弈论模型

A game theoretical model for location of terror response facilities under capacitated resources.

作者信息

Meng Lingpeng, Kang Qi, Han Chuanfeng, Xu Weisheng, Wu Qidi

机构信息

Department of Control Science and Engineering, Tongji University, Shanghai 201804, China ; Institute of Urban Construction and Emergency Management, Tongji University, Shanghai 200092, China.

Department of Control Science and Engineering, Tongji University, Shanghai 201804, China.

出版信息

ScientificWorldJournal. 2013 Dec 28;2013:742845. doi: 10.1155/2013/742845. eCollection 2013.

DOI:10.1155/2013/742845
PMID:24459446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3891240/
Abstract

This paper is concerned with the effect of capacity constraints on the locations of terror response facilities. We assume that the state has limited resources, and multiple facilities may be involved in the response until the demand is satisfied consequently. We formulate a leader-follower game model between the state and the terrorist and prove the existence and uniqueness of the Nash equilibrium. An integer linear programming is proposed to obtain the equilibrium results when the facility number is fixed. The problem is demonstrated by a case study of the 19 districts of Shanghai, China.

摘要

本文关注容量限制对反恐应急设施选址的影响。我们假设国家资源有限,并且在需求最终得到满足之前,可能会有多个设施参与应急响应。我们构建了一个国家与恐怖分子之间的领导者—追随者博弈模型,并证明了纳什均衡的存在性和唯一性。当设施数量固定时,提出了一个整数线性规划来获得均衡结果。通过对中国上海市19个区的案例研究对该问题进行了论证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/9d6726caf442/TSWJ2013-742845.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/460a5c376a5e/TSWJ2013-742845.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/4bec4a881f3c/TSWJ2013-742845.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/6bcae20fd557/TSWJ2013-742845.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/4660fc1aa48b/TSWJ2013-742845.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/9d6726caf442/TSWJ2013-742845.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/460a5c376a5e/TSWJ2013-742845.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/4bec4a881f3c/TSWJ2013-742845.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/6bcae20fd557/TSWJ2013-742845.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/4660fc1aa48b/TSWJ2013-742845.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc48/3891240/9d6726caf442/TSWJ2013-742845.005.jpg

相似文献

1
A game theoretical model for location of terror response facilities under capacitated resources.资源受限条件下恐怖应对设施选址的博弈论模型
ScientificWorldJournal. 2013 Dec 28;2013:742845. doi: 10.1155/2013/742845. eCollection 2013.
2
Efficient Allocation of Resources for Defense of Spatially Distributed Networks Using Agent-Based Simulation.使用基于智能体的模拟为空间分布式网络的防御进行资源的高效分配
Risk Anal. 2015 Sep;35(9):1690-705. doi: 10.1111/risa.12325. Epub 2015 Feb 13.
3
Characterizing contract-based multiagent resource allocation in networks.刻画网络中基于契约的多智能体资源分配
IEEE Trans Syst Man Cybern B Cybern. 2010 Jun;40(3):575-86. doi: 10.1109/TSMCB.2009.2035100. Epub 2009 Dec 1.
4
Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction.基于拍卖的云计算博弈论机制下的高效纳什均衡资源分配
PLoS One. 2015 Oct 2;10(10):e0138424. doi: 10.1371/journal.pone.0138424. eCollection 2015.
5
Allocation rules for global donors.全球捐赠者的分配规则。
J Health Econ. 2018 Mar;58:67-75. doi: 10.1016/j.jhealeco.2018.02.003. Epub 2018 Feb 8.
6
A game theory approach for risk analysis and security force deployment against multiple coordinated attacks.一种用于针对多重协同攻击进行风险分析和安全部队部署的博弈论方法。
Environ Res. 2021 Mar;194:110737. doi: 10.1016/j.envres.2021.110737. Epub 2021 Jan 15.
7
Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation.基于学习自动机的非线性分数背包问题解决方案及其在最优资源分配中的应用。
IEEE Trans Syst Man Cybern B Cybern. 2007 Feb;37(1):166-75. doi: 10.1109/tsmcb.2006.879012.
8
Fuzzy programming method for multi-objective optimal allocation of sediment resources and the cooperative bargaining: a case study in Weishan irrigation area, China.模糊规划方法在泥沙资源多目标优化配置及合作博弈中的应用——以中国微山湖地区为例。
Environ Sci Pollut Res Int. 2020 Mar;27(7):7071-7086. doi: 10.1007/s11356-019-07420-z. Epub 2019 Dec 27.
9
A game theory approach for assessing risk value and deploying search-and-rescue resources after devastating tsunamis.一种用于评估毁灭性海啸后风险价值和部署搜救资源的博弈论方法。
Environ Res. 2018 Apr;162:18-26. doi: 10.1016/j.envres.2017.12.008. Epub 2017 Dec 21.
10
Developing an integrated land allocation model based on linear programming and game theory.基于线性规划和博弈论开发一个综合土地分配模型。
Environ Monit Assess. 2023 Mar 21;195(4):493. doi: 10.1007/s10661-023-11124-w.

本文引用的文献

1
Vulnerability and risk: some thoughts from a political and policy perspective.脆弱性与风险:来自政治和政策视角的一些思考
Risk Anal. 2003 Aug;23(4):805-10. doi: 10.1111/1539-6924.00357.