Studying on Weapons-Targets Assignment Based on Genetic Algorithm

Jintao Su, Yunqi Yao, Yuefeng He
{"title":"Studying on Weapons-Targets Assignment Based on Genetic Algorithm","authors":"Jintao Su, Yunqi Yao, Yuefeng He","doi":"10.1145/3284557.3284707","DOIUrl":null,"url":null,"abstract":"Under the condition that the platform may be attacked by multiple types of targets, the types of weapons on the platform are diverse and the operational situation is complex, the traditional method of the weapon-target assignment cannot adapt to the requirements of the high intensity and multi-aspects. This paper puts forward the concept of weapon compatibility coefficient, establishes the mathematical model of weapons-targets assignment, and designs the weapons-targets assignment algorithm by the genetic algorithm. The simulation experiment shows that this method can provide nearly real-time and overall optimal weapons-target assignment decision for multi-aspect combat of the platform, and can significantly improve the comprehensive effectiveness.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3284557.3284707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Under the condition that the platform may be attacked by multiple types of targets, the types of weapons on the platform are diverse and the operational situation is complex, the traditional method of the weapon-target assignment cannot adapt to the requirements of the high intensity and multi-aspects. This paper puts forward the concept of weapon compatibility coefficient, establishes the mathematical model of weapons-targets assignment, and designs the weapons-targets assignment algorithm by the genetic algorithm. The simulation experiment shows that this method can provide nearly real-time and overall optimal weapons-target assignment decision for multi-aspect combat of the platform, and can significantly improve the comprehensive effectiveness.
基于遗传算法的武器目标分配研究
在平台可能受到多类型目标攻击、平台武器种类多样、作战态势复杂的情况下,传统的武器目标分配方法已不能适应高强度、多面向的要求。提出了武器兼容系数的概念,建立了武器-目标分配的数学模型,并用遗传算法设计了武器-目标分配算法。仿真实验表明,该方法可以为平台的多面向作战提供近乎实时、全面的最优武器目标分配决策,显著提高综合效能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信