{"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.