多目标船舶天气航路的一种进化方法

Aphrodite Veneti, C. Konstantopoulos, G. Pantziou
{"title":"多目标船舶天气航路的一种进化方法","authors":"Aphrodite Veneti, C. Konstantopoulos, G. Pantziou","doi":"10.1109/IISA.2015.7388052","DOIUrl":null,"url":null,"abstract":"The paper presents a real time weather routing solution based on an Evolutionary Algorithm (EA). The objectives to be minimized are the mean total risk and fuel cost, where the route of a ship is optimized while taking into consideration the time-varying sea and weather conditions and there is also a constraint on the total passage time of the route. Safety is also taken into account by applying restrictions following the guidelines of the International Maritime Organization (IMO). The proposed EA implementation is tested on real life instances and compared with an exact algorithm.","PeriodicalId":433872,"journal":{"name":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"An evolutionary approach to multi-objective ship weather routing\",\"authors\":\"Aphrodite Veneti, C. Konstantopoulos, G. Pantziou\",\"doi\":\"10.1109/IISA.2015.7388052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a real time weather routing solution based on an Evolutionary Algorithm (EA). The objectives to be minimized are the mean total risk and fuel cost, where the route of a ship is optimized while taking into consideration the time-varying sea and weather conditions and there is also a constraint on the total passage time of the route. Safety is also taken into account by applying restrictions following the guidelines of the International Maritime Organization (IMO). The proposed EA implementation is tested on real life instances and compared with an exact algorithm.\",\"PeriodicalId\":433872,\"journal\":{\"name\":\"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISA.2015.7388052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA.2015.7388052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

提出了一种基于进化算法(EA)的实时天气路由方案。最小化的目标是平均总风险和燃料成本,在考虑时变海况和天气条件的情况下优化船舶航线,并对航线的总通过时间进行约束。根据国际海事组织(IMO)的指导方针,通过应用限制也考虑到安全。提出的EA实现在实际实例中进行了测试,并与精确算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evolutionary approach to multi-objective ship weather routing
The paper presents a real time weather routing solution based on an Evolutionary Algorithm (EA). The objectives to be minimized are the mean total risk and fuel cost, where the route of a ship is optimized while taking into consideration the time-varying sea and weather conditions and there is also a constraint on the total passage time of the route. Safety is also taken into account by applying restrictions following the guidelines of the International Maritime Organization (IMO). The proposed EA implementation is tested on real life instances and compared with an exact algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信