{"title":"水下环境下最优任务规划","authors":"Daegil Park, Jonghui Han, W. Chung","doi":"10.1109/URAI.2013.6677395","DOIUrl":null,"url":null,"abstract":"In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.","PeriodicalId":431699,"journal":{"name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal mission planning for underwater environment\",\"authors\":\"Daegil Park, Jonghui Han, W. Chung\",\"doi\":\"10.1109/URAI.2013.6677395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.\",\"PeriodicalId\":431699,\"journal\":{\"name\":\"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URAI.2013.6677395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2013.6677395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal mission planning for underwater environment
In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.
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