{"title":"基于马尔可夫决策过程的目标系统打击规划","authors":"Lei Ting, Zhu Cheng, Z. Weiming","doi":"10.1109/SOLI.2013.6611401","DOIUrl":null,"url":null,"abstract":"Planning for targets selection and striking is an important part during the military decision process. In this paper, as to optimize the striking process against the military target system, in which there are relationships between different targets and each target having the capability to recover from the damage, the structure and the recovering mechanism of the target system is modeled. In order to generate a multi-phase striking planning which can destroy the target system efficiently, the Markov Decision Process based planning method is proposed, and a heuristic is calculated to reduce the search space of the problem. Efficiency of the model is showed by a case, which shows that commander can raise their decision efficiency by this method.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Planning for target system striking based on Markov decision process\",\"authors\":\"Lei Ting, Zhu Cheng, Z. Weiming\",\"doi\":\"10.1109/SOLI.2013.6611401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Planning for targets selection and striking is an important part during the military decision process. In this paper, as to optimize the striking process against the military target system, in which there are relationships between different targets and each target having the capability to recover from the damage, the structure and the recovering mechanism of the target system is modeled. In order to generate a multi-phase striking planning which can destroy the target system efficiently, the Markov Decision Process based planning method is proposed, and a heuristic is calculated to reduce the search space of the problem. Efficiency of the model is showed by a case, which shows that commander can raise their decision efficiency by this method.\",\"PeriodicalId\":147180,\"journal\":{\"name\":\"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2013.6611401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2013.6611401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Planning for target system striking based on Markov decision process
Planning for targets selection and striking is an important part during the military decision process. In this paper, as to optimize the striking process against the military target system, in which there are relationships between different targets and each target having the capability to recover from the damage, the structure and the recovering mechanism of the target system is modeled. In order to generate a multi-phase striking planning which can destroy the target system efficiently, the Markov Decision Process based planning method is proposed, and a heuristic is calculated to reduce the search space of the problem. Efficiency of the model is showed by a case, which shows that commander can raise their decision efficiency by this method.