{"title":"Research on Jamming Resource Allocation Based on Improved Pelican Optimization Algorithm","authors":"Junwei Zhao, Yi-an Liu, Hailing Song","doi":"10.1109/DCABES57229.2022.00060","DOIUrl":null,"url":null,"abstract":"To get the best jamming effect of limited jamming resources in electronic warfare, this paper focuses on the problem of jamming resource allocation. An objective function of jamming resource allocation is built, which is based on the calculation by the probability formula of jammer pressing, and an improved Pelican Optimization Algorithm is designed. By simulating the pelican's natural behavior of approaching prey and searching the nearby area in the process of hunting, the algorithm creates the corresponding mathematical model, and obtains the global optimal allocation strategy by solving the model. The simulated results indicate that the probability of obtaining the optimal solution and optimal allocation strategy of the algorithm are better than the traditional Simulated Annealing Algorithm, whether it is the situation of “single jammer to single radar” or “multi-jammer to single-radar”.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES57229.2022.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To get the best jamming effect of limited jamming resources in electronic warfare, this paper focuses on the problem of jamming resource allocation. An objective function of jamming resource allocation is built, which is based on the calculation by the probability formula of jammer pressing, and an improved Pelican Optimization Algorithm is designed. By simulating the pelican's natural behavior of approaching prey and searching the nearby area in the process of hunting, the algorithm creates the corresponding mathematical model, and obtains the global optimal allocation strategy by solving the model. The simulated results indicate that the probability of obtaining the optimal solution and optimal allocation strategy of the algorithm are better than the traditional Simulated Annealing Algorithm, whether it is the situation of “single jammer to single radar” or “multi-jammer to single-radar”.