{"title":"基于多目标粒子群优化算法的目标分配方法","authors":"Qing Liu, Yunzheng Liu, Dexian Zeng","doi":"10.1117/12.3014410","DOIUrl":null,"url":null,"abstract":"Aiming at the target distribution problem of anti-aircraft weapon firepower, a target allocation method based on multitarget particle swarm is proposed. The mathematical model of incoming target allocation constraint optimization is established, and the multi-target particle swarm algorithm is used to solve the target allocation model. The inertia weights in the velocity update formula of the particle swarm algorithm and the learning factor assignment method are improved. Compared with the simulation results and actual experience judgment, the designed algorithm solves the target problem in the air defense weapon system to a certain extent.","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"102 3","pages":"129690D - 129690D-10"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Target allocation method based on multi-objective particle swarm optimization algorithm\",\"authors\":\"Qing Liu, Yunzheng Liu, Dexian Zeng\",\"doi\":\"10.1117/12.3014410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the target distribution problem of anti-aircraft weapon firepower, a target allocation method based on multitarget particle swarm is proposed. The mathematical model of incoming target allocation constraint optimization is established, and the multi-target particle swarm algorithm is used to solve the target allocation model. The inertia weights in the velocity update formula of the particle swarm algorithm and the learning factor assignment method are improved. Compared with the simulation results and actual experience judgment, the designed algorithm solves the target problem in the air defense weapon system to a certain extent.\",\"PeriodicalId\":516634,\"journal\":{\"name\":\"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)\",\"volume\":\"102 3\",\"pages\":\"129690D - 129690D-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3014410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3014410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target allocation method based on multi-objective particle swarm optimization algorithm
Aiming at the target distribution problem of anti-aircraft weapon firepower, a target allocation method based on multitarget particle swarm is proposed. The mathematical model of incoming target allocation constraint optimization is established, and the multi-target particle swarm algorithm is used to solve the target allocation model. The inertia weights in the velocity update formula of the particle swarm algorithm and the learning factor assignment method are improved. Compared with the simulation results and actual experience judgment, the designed algorithm solves the target problem in the air defense weapon system to a certain extent.