{"title":"基于混合粒子群优化算法求解武器目标分配问题的新方法","authors":"Bojiang Zhu, Feng-xing Zou, Jia-hua Wei","doi":"10.1109/EMEIT.2011.6023352","DOIUrl":null,"url":null,"abstract":"This paper presents an approach based on hybrid particle swarm optimization to solve weapon-target assignment (WTA) problem. The mathematical model of WTA problem is explained in detail. Then the idea of basic particle swarm optimization (PSO) is introduced. A hybrid PSO algorithm (HPSO) is structured by introducing the mutation operator and changing the inertia weight with the generation. The results of simulation indicate that this approach is effective to solve WTA problem.","PeriodicalId":221663,"journal":{"name":"International Conference on Electronic and Mechanical Engineering and Information Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel approach to solving weapon-target assignment problem based on hybrid particle swarm optimization algorithm\",\"authors\":\"Bojiang Zhu, Feng-xing Zou, Jia-hua Wei\",\"doi\":\"10.1109/EMEIT.2011.6023352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach based on hybrid particle swarm optimization to solve weapon-target assignment (WTA) problem. The mathematical model of WTA problem is explained in detail. Then the idea of basic particle swarm optimization (PSO) is introduced. A hybrid PSO algorithm (HPSO) is structured by introducing the mutation operator and changing the inertia weight with the generation. The results of simulation indicate that this approach is effective to solve WTA problem.\",\"PeriodicalId\":221663,\"journal\":{\"name\":\"International Conference on Electronic and Mechanical Engineering and Information Technology\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electronic and Mechanical Engineering and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMEIT.2011.6023352\",\"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 Electronic and Mechanical Engineering and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMEIT.2011.6023352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel approach to solving weapon-target assignment problem based on hybrid particle swarm optimization algorithm
This paper presents an approach based on hybrid particle swarm optimization to solve weapon-target assignment (WTA) problem. The mathematical model of WTA problem is explained in detail. Then the idea of basic particle swarm optimization (PSO) is introduced. A hybrid PSO algorithm (HPSO) is structured by introducing the mutation operator and changing the inertia weight with the generation. The results of simulation indicate that this approach is effective to solve WTA problem.