{"title":"救助船舶海上航路准确预报系统","authors":"X. Lu","doi":"10.23919/WAC55640.2022.9934350","DOIUrl":null,"url":null,"abstract":"Due to the lack of pheromone, the basic ant colony algorithm applied in the route prediction system leads to low route prediction accuracy under a certain number of iterations. Therefore, a rescue ship maritime route accurate prediction system is designed. In the pro-cess of system design, the hardware follows the hardware used in the existing system, mainly designing the software. Firstly, the link graph method is used to divide the motion space according to the free space and obstacle space, ex-pand the obstacles and ships, save the route planning time and reduce the complexity of the model; The ant colony algorithm is optimized, a new parameter is introduced to change the state transition rule, and the pheromone ini-tialization and global pheromone update rules are opti-mized. Under the same iteration times, the rescue route length predicted by the design system is obviously better than that obtained by the original system, which shows that the design system has a certain effectiveness.","PeriodicalId":277075,"journal":{"name":"Workshop on Autonomic Communication","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Accurate prediction system for maritime navigation route of rescue ship\",\"authors\":\"X. Lu\",\"doi\":\"10.23919/WAC55640.2022.9934350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the lack of pheromone, the basic ant colony algorithm applied in the route prediction system leads to low route prediction accuracy under a certain number of iterations. Therefore, a rescue ship maritime route accurate prediction system is designed. In the pro-cess of system design, the hardware follows the hardware used in the existing system, mainly designing the software. Firstly, the link graph method is used to divide the motion space according to the free space and obstacle space, ex-pand the obstacles and ships, save the route planning time and reduce the complexity of the model; The ant colony algorithm is optimized, a new parameter is introduced to change the state transition rule, and the pheromone ini-tialization and global pheromone update rules are opti-mized. Under the same iteration times, the rescue route length predicted by the design system is obviously better than that obtained by the original system, which shows that the design system has a certain effectiveness.\",\"PeriodicalId\":277075,\"journal\":{\"name\":\"Workshop on Autonomic Communication\",\"volume\":\"123 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Autonomic Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/WAC55640.2022.9934350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Autonomic Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WAC55640.2022.9934350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate prediction system for maritime navigation route of rescue ship
Due to the lack of pheromone, the basic ant colony algorithm applied in the route prediction system leads to low route prediction accuracy under a certain number of iterations. Therefore, a rescue ship maritime route accurate prediction system is designed. In the pro-cess of system design, the hardware follows the hardware used in the existing system, mainly designing the software. Firstly, the link graph method is used to divide the motion space according to the free space and obstacle space, ex-pand the obstacles and ships, save the route planning time and reduce the complexity of the model; The ant colony algorithm is optimized, a new parameter is introduced to change the state transition rule, and the pheromone ini-tialization and global pheromone update rules are opti-mized. Under the same iteration times, the rescue route length predicted by the design system is obviously better than that obtained by the original system, which shows that the design system has a certain effectiveness.