{"title":"基于自适应细菌觅食算法的船舶天气路径优化","authors":"P. V. Hung, Quang Viet Dang, Le Thanh Dat","doi":"10.26480/jtin.01.2022.16.19","DOIUrl":null,"url":null,"abstract":"The economic efficiency, energy efficiency, reduce emission, increasing safety and security play a vital role to develop a sustainable shipping fleet. One of important measures to response these requirment is the optimal weather routing system. Because of the vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. Therefore, In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.","PeriodicalId":385957,"journal":{"name":"JOURNAL OF TECHNOLOGY & INNOVATION","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OPTIMAL WEATHER ROUTING BASED ON ADAPTIVE BACTERIA FORAGING ALGORITHM FOR VESSEL\",\"authors\":\"P. V. Hung, Quang Viet Dang, Le Thanh Dat\",\"doi\":\"10.26480/jtin.01.2022.16.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The economic efficiency, energy efficiency, reduce emission, increasing safety and security play a vital role to develop a sustainable shipping fleet. One of important measures to response these requirment is the optimal weather routing system. Because of the vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. Therefore, In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.\",\"PeriodicalId\":385957,\"journal\":{\"name\":\"JOURNAL OF TECHNOLOGY & INNOVATION\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF TECHNOLOGY & INNOVATION\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26480/jtin.01.2022.16.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF TECHNOLOGY & INNOVATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26480/jtin.01.2022.16.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OPTIMAL WEATHER ROUTING BASED ON ADAPTIVE BACTERIA FORAGING ALGORITHM FOR VESSEL
The economic efficiency, energy efficiency, reduce emission, increasing safety and security play a vital role to develop a sustainable shipping fleet. One of important measures to response these requirment is the optimal weather routing system. Because of the vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. Therefore, In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.
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