A three-dimensional ant colony algorithm for multi-objective ice routing of a ship in the Arctic area

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZhang, Chien_US
dc.contributor.authorZhang, Dien_US
dc.contributor.authorZhang, Mingyangen_US
dc.contributor.authorZhang, Jinfenen_US
dc.contributor.authorMao, Wengangen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen
dc.contributor.groupauthorMarine Technologyen
dc.contributor.organizationWuhan University of Technologyen_US
dc.contributor.organizationChalmers University of Technologyen_US
dc.date.accessioned2022-12-14T10:17:45Z
dc.date.available2022-12-14T10:17:45Z
dc.date.issued2022-12-15en_US
dc.description| openaire: EC/H2020/730888/EU//RESET Funding Information: This study was supported by the National Science Foundation of China (NSFC) under Grant No. 52071247 and 51779202; Hubei Provincial Natural Science Foundation of China under Grant No. 2019CFA039 and 2021EHB007; Innovation and entrepreneurship team import project of Shaoguan city under Grant No. 201208176230693; the European Union's Horizon 2020 Research and Innovation Programme RISE under grant agreement No. 730888 (RESET). The first author would like to thank the China Scholarship Council (CSC) No. 202006950053. Funding Information: This study was supported by the National Science Foundation of China (NSFC) under Grant No. 52071247 and 51779202 ; Hubei Provincial Natural Science Foundation of China under Grant No. 2019CFA039 and 2021EHB007 ; Innovation and entrepreneurship team import project of Shaoguan city under Grant No. 201208176230693 ; the European Union’s Horizon 2020 Research and Innovation Programme RISE under grant agreement No. 730888 (RESET). The first author would like to thank the China Scholarship Council (CSC) No. 202006950053 . Publisher Copyright: © 2022 Elsevier Ltd
dc.description.abstractThe increasing shipping activities in the Arctic area pose challenges to a ship's safety and fuel saving in ice-covered waters. The optimal ship route planning can reduce the fuel consumption and navigation risk for ice-going ships in the Northeast Route. In this paper, a multi-objective ice routing model has been developed for searching optimal routes with two objectives, i.e., minimization of the fuel consumption and the total risk along a voyage, considering the time-varying ice data. Navigation risk is considered by applying a risk assessment model for Arctic navigation. A 3D-ACA (Three-Dimensional Ant Colony Algorithm) has been proposed and implemented in the developed ice routing model to make decisions on a ship's passing waypoints and sailing speeds along each waypoint. Finally, several case studies with different route planning objectives have been conducted to demonstrate the performance of the proposed model.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.identifier.citationZhang, C, Zhang, D, Zhang, M, Zhang, J & Mao, W 2022, ' A three-dimensional ant colony algorithm for multi-objective ice routing of a ship in the Arctic area ', Ocean Engineering, vol. 266, 113241 . https://doi.org/10.1016/j.oceaneng.2022.113241en
dc.identifier.doi10.1016/j.oceaneng.2022.113241en_US
dc.identifier.issn0029-8018
dc.identifier.issn1873-5258
dc.identifier.otherPURE UUID: 92d9aba1-6e00-4e01-ab62-48049cb88039en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/92d9aba1-6e00-4e01-ab62-48049cb88039en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85142711381&partnerID=8YFLogxKen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118172
dc.identifier.urnURN:NBN:fi:aalto-202212146912
dc.language.isoenen
dc.publisherElsevier Ltd
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/730888/EU//RESET Funding Information: This study was supported by the National Science Foundation of China (NSFC) under Grant No. 52071247 and 51779202; Hubei Provincial Natural Science Foundation of China under Grant No. 2019CFA039 and 2021EHB007; Innovation and entrepreneurship team import project of Shaoguan city under Grant No. 201208176230693; the European Union's Horizon 2020 Research and Innovation Programme RISE under grant agreement No. 730888 (RESET). The first author would like to thank the China Scholarship Council (CSC) No. 202006950053. Funding Information: This study was supported by the National Science Foundation of China (NSFC) under Grant No. 52071247 and 51779202 ; Hubei Provincial Natural Science Foundation of China under Grant No. 2019CFA039 and 2021EHB007 ; Innovation and entrepreneurship team import project of Shaoguan city under Grant No. 201208176230693 ; the European Union’s Horizon 2020 Research and Innovation Programme RISE under grant agreement No. 730888 (RESET). The first author would like to thank the China Scholarship Council (CSC) No. 202006950053 . Publisher Copyright: © 2022 Elsevier Ltden_US
dc.relation.ispartofseriesOcean Engineeringen
dc.relation.ispartofseriesVolume 266en
dc.rightsrestrictedAccessen
dc.subject.keywordArctic navigationen_US
dc.subject.keywordIce routing modelen_US
dc.subject.keywordMulti-objective optimizationen_US
dc.subject.keywordRisk assessmenten_US
dc.subject.keywordThree-dimensional ant colony algorithmen_US
dc.titleA three-dimensional ant colony algorithm for multi-objective ice routing of a ship in the Arctic areaen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
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