信息工程大学学报2024，Vol.25Issue(3)：351-357,7.DOI:10.3969/j.issn.1671-0673.2024.03.015
基于优先级的侦察力量优化配置排队模型
Priority-Based Optimal Configuration Queuing Model for Reconnaissance Forces
摘要
Abstract
Based on the requirements of the joint operational intelligence reconnaissance and support mission in the war zone,combing the time-effectiveness characteristics of the actual intelligence recon-naissance mission,the priority of the reconnaissance mission target is distinguished,taking reconnais-sance force units as servers and reconnaissance targets as customer flows,an M/M/c queuing model with preemptive priority and reconnaissance recovery strategies is established.By constructing Markov chain for steady-state analysis,the transfer probability is obtained,the matrix geometry of steady-state distribution of intelligence reconnaissance system is calculated by means of quasi-birth-death process solution method,and the performance index is calculated.Finally,the influence of parameter change on performance index is analyzed according to the result,and the optimal parameters of reconnaissance force configuration are obtained.关键词
联合情报侦察/任务规划/马尔科夫链/排队论Key words
joint intelligence reconnaissance/mission planning/Markov chain/queuing theory分类
军事科技引用本文复制引用
曾相为,宋留勇,舒科..基于优先级的侦察力量优化配置排队模型[J].信息工程大学学报,2024,25(3):351-357,7.基金项目
全军军事类研究生资助课题(JY2021B090) （JY2021B090）
