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Optimization of Emergency Resource Scheduling in Serial Terrorist Attacks Based on PSO-CS Algorithm
Journal of Applied Security Research ( IF 1.1 ) Pub Date : 2020-09-11 , DOI: 10.1080/19361610.2020.1812995
Chenglong Li 1
Affiliation  

Abstract

More recent terrorist attacks have shifted, involving multiple locations. Serial terrorist attacks have increased recently, which requires the dispatch of various types of emergency resources in multiple locations. Based on serial terrorist attacks, this paper constructs a new resource scheduling model that considers influencing factors such as transportation time, cost, and resource availability. Subsequently, it applies particle swarm optimization combined with Cuckoo search (PSO-CS) algorithm to solve the resource scheduling process of multiple types and multiple classes. Through numerical tests and simulations using different locations, our solutions can more effectively address resource scheduling issues in cases of serial terrorist attacks.



中文翻译:

基于PSO-CS算法的连续恐怖袭击应急资源调度优化

摘要

最近的恐怖袭击发生了变化,涉及多个地点。近期连续发生的恐怖袭击事件增多,需要在多个地点调配各类应急资源。基于连环恐怖袭击,本文构建了一种新的资源调度模型,该模型考虑了运输时间、成本和资源可用性等影响因素。随后,应用粒子群优化结合布谷鸟搜索(PSO-CS)算法解决多类型多类资源调度过程。通过使用不同位置的数值测试和模拟,我们的解决方案可以更有效地解决连续恐怖袭击情况下的资源调度问题。

更新日期:2020-09-11
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