{"title":"基于动态博弈的水下航行器海战对抗战术研究","authors":"Na Wei, Mingyong Liu","doi":"10.1109/ROBIO.2017.8324616","DOIUrl":null,"url":null,"abstract":"According to the cooperative antagonism game problem of multi autonomous underwater vehicles(AUVs), multi AUVs cooperative attack dynamic countermeasures are researched. A multi-combat steps dynamic target assignment optimization model is built based on the game theory for multi-strategy autonomous underwater vehicles cooperative attack. Particle swarm optimization (PSO) algorithm is applied to solve the Nash equilibrium point for obtaining optimal antagonistic tactics. It is confirmed that the feasibility and validity of the proposed model and method.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"AUV antagonistic tactics study for naval battle based on dynamic game\",\"authors\":\"Na Wei, Mingyong Liu\",\"doi\":\"10.1109/ROBIO.2017.8324616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the cooperative antagonism game problem of multi autonomous underwater vehicles(AUVs), multi AUVs cooperative attack dynamic countermeasures are researched. A multi-combat steps dynamic target assignment optimization model is built based on the game theory for multi-strategy autonomous underwater vehicles cooperative attack. Particle swarm optimization (PSO) algorithm is applied to solve the Nash equilibrium point for obtaining optimal antagonistic tactics. It is confirmed that the feasibility and validity of the proposed model and method.\",\"PeriodicalId\":197159,\"journal\":{\"name\":\"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2017.8324616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2017.8324616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AUV antagonistic tactics study for naval battle based on dynamic game
According to the cooperative antagonism game problem of multi autonomous underwater vehicles(AUVs), multi AUVs cooperative attack dynamic countermeasures are researched. A multi-combat steps dynamic target assignment optimization model is built based on the game theory for multi-strategy autonomous underwater vehicles cooperative attack. Particle swarm optimization (PSO) algorithm is applied to solve the Nash equilibrium point for obtaining optimal antagonistic tactics. It is confirmed that the feasibility and validity of the proposed model and method.