基于博弈的多目标弹药调度策略优化研究  

Optimization of Multi-objective Ammunition Scheduling Strategies Based on Game Theory

作　　者：侯德飞 田德红 林聪仁[3] 孙海信[3] 宋睿平 王玉芬 HOU Defei;TIAN Dehong;LIN Congren;SUN Haixin;SONG Ruiping;WANG Yufen(School of Cyber Science and Engineering,Southeast University,Nanjing,211189,China;Nanjing Yutian Wanwei Information Technology Co.Ltd.,Nanjing,210019,China;School of Informatics,Xiamen University,Xiamen,361005,China)

机构地区：[1]东南大学网络空间安全学院,南京211189 [2]南京宇天万维信息技术有限公司,南京210019 [3]厦门大学信息学院,厦门361005

出　　处：《南京航空航天大学学报》2019年第6期841-847,共7页Journal of Nanjing University of Aeronautics & Astronautics

基　　金：深圳市科技计划（JSGG20170414090428464）资助项目;国家自然科学基金（61671394）资助项目

摘　　要：针对作战部队弹药调度策略问题,综合考虑不同作战部队对弹药调度时间因素和安全因素需求程度的差异,通过博弈模型对多目标问题进行度量,进而结合遗传算法对弹药调度策略进行优化。仿真结果表明,本文构建的博弈模型能够更加合理地为不同环境下具有差异化需求的弹药调度策略进行优化。This paper aims at the problem of ammunition scheduling strategies.The differences of demand for time and security among different forces are considered in the case of a fight.The multi-objective problem is measured by the game theory,and then the ammunition scheduling strategy is optimized by the genetic algorithm.The simulation results show that the game theory constructed in this paper can more rationally optimize the ammunition scheduling strategies with different demand in different cases.

关 键 词：调度 博弈 遗传算法 多目标 

分 类 号：TN971[电子电信—信号与信息处理]