{"title":"基于改进遗传算法的雷达网布局方法","authors":"Yinlong Wang, Wang Dan, Juntao Ma","doi":"10.1109/ICPECA60615.2024.10471097","DOIUrl":null,"url":null,"abstract":"In order to improve the maximum warning range of radar networks, an optimization algorithm for radar network layout based on improved genetic algorithm is proposed. First, a joint early warning probability calculation model for multiple radars was established. Subsequently, a detailed process for calculating early warning using the Monte Carlo method for radar networks was presented, and an improved genetic algorithm was proposed for solving the problem. The improved genetic algorithm mainly improves on the roulette algorithm, DNA selection, crossover, and mutation. Simulation experiments show that the improved algorithm improves the convergence speed.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"79 4","pages":"18-22"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Radar Net Layout Method Based on Improved Genetic Algorithm\",\"authors\":\"Yinlong Wang, Wang Dan, Juntao Ma\",\"doi\":\"10.1109/ICPECA60615.2024.10471097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the maximum warning range of radar networks, an optimization algorithm for radar network layout based on improved genetic algorithm is proposed. First, a joint early warning probability calculation model for multiple radars was established. Subsequently, a detailed process for calculating early warning using the Monte Carlo method for radar networks was presented, and an improved genetic algorithm was proposed for solving the problem. The improved genetic algorithm mainly improves on the roulette algorithm, DNA selection, crossover, and mutation. Simulation experiments show that the improved algorithm improves the convergence speed.\",\"PeriodicalId\":518671,\"journal\":{\"name\":\"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"volume\":\"79 4\",\"pages\":\"18-22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA60615.2024.10471097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA60615.2024.10471097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Radar Net Layout Method Based on Improved Genetic Algorithm
In order to improve the maximum warning range of radar networks, an optimization algorithm for radar network layout based on improved genetic algorithm is proposed. First, a joint early warning probability calculation model for multiple radars was established. Subsequently, a detailed process for calculating early warning using the Monte Carlo method for radar networks was presented, and an improved genetic algorithm was proposed for solving the problem. The improved genetic algorithm mainly improves on the roulette algorithm, DNA selection, crossover, and mutation. Simulation experiments show that the improved algorithm improves the convergence speed.