A Heuristic Cutting Plane Algorithm For Budget Allocation of Large-scale Domestic Airport Network Protection

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Xihong Yan, Shiyu Hao
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引用次数: 0

Abstract

It is well known that airport security is an important component of homeland security, since airports are highly vulnerable to terrorist attacks. In order to improve the overall security of the domestic airport network, some work studied the budget allocation of domestic airport network protection. They established a minimax optimization model and designed an exact cutting plane algorithm to solve the problem. However, the exact algorithm can not solve large-scale problems in an acceptable time. Hence, this paper designs a heuristic cutting plane algorithm for solving budget allocation of large-scale domestic airport network protection. Finally, numerical experiments are carried out to demonstrate the feasibility and effectiveness of the new algorithm.
用于大型国内机场网络保护预算分配的启发式切平面算法
众所周知,机场安全是国土安全的重要组成部分,因为机场极易受到恐怖袭击。为了提高国内机场网络的整体安全性,一些工作研究了国内机场网络防护的预算分配问题。他们建立了最小优化模型,并设计了精确切平面算法来解决该问题。然而,精确算法无法在可接受的时间内解决大规模问题。因此,本文设计了一种启发式切面算法来解决国内大型机场网络保护的预算分配问题。最后,通过数值实验证明了新算法的可行性和有效性。
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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