{"title":"寻找水下航行器轨迹的遗传规划","authors":"J. Balicki","doi":"10.1109/ROMOCO.2002.1177110","DOIUrl":null,"url":null,"abstract":"Path planning for an underwater vehicle can be formulated as a multi-criterion optimization problem that can be solved by genetic programming. Two underwater vehicles are compared. For assessment of an underwater vehicle trajectory, three crucial criteria are used, a total length of a path, a smoothness of a trajectory, and a measure of safety. Some rules of genetic programming are described.","PeriodicalId":213750,"journal":{"name":"Proceedings of the Third International Workshop on Robot Motion and Control, 2002. RoMoCo '02.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Genetic programming for finding trajectories of underwater vehicle\",\"authors\":\"J. Balicki\",\"doi\":\"10.1109/ROMOCO.2002.1177110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Path planning for an underwater vehicle can be formulated as a multi-criterion optimization problem that can be solved by genetic programming. Two underwater vehicles are compared. For assessment of an underwater vehicle trajectory, three crucial criteria are used, a total length of a path, a smoothness of a trajectory, and a measure of safety. Some rules of genetic programming are described.\",\"PeriodicalId\":213750,\"journal\":{\"name\":\"Proceedings of the Third International Workshop on Robot Motion and Control, 2002. RoMoCo '02.\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third International Workshop on Robot Motion and Control, 2002. RoMoCo '02.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMOCO.2002.1177110\",\"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 the Third International Workshop on Robot Motion and Control, 2002. RoMoCo '02.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMOCO.2002.1177110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic programming for finding trajectories of underwater vehicle
Path planning for an underwater vehicle can be formulated as a multi-criterion optimization problem that can be solved by genetic programming. Two underwater vehicles are compared. For assessment of an underwater vehicle trajectory, three crucial criteria are used, a total length of a path, a smoothness of a trajectory, and a measure of safety. Some rules of genetic programming are described.
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