A framework for multi-objective optimization of Arctic offshore support vessels

Simple item page
dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKondratenko, Aleksandren_US
dc.contributor.authorKujala, Penttien_US
dc.contributor.departmentDepartment of Energy and Mechanical Engineeringen
dc.contributor.groupauthorMarine Technologyen
dc.date.accessioned2021-12-15T07:25:06Z
dc.date.available2021-12-15T07:25:06Z
dc.date.issued2021-06-30en_US
dc.description.abstractAn Arctic vessel operates in a fragile Arctic environment that requires analyzing an eco-efficiency besides cost-efficiency in the conceptual design – phase that mainly determines a ship's performance. We present a software framework to optimize Arctic offshore support vessels for Cost- and Eco-efficiency using the Artificial Bee Colony algorithm. The framework scans the feasible design space to find a Pareto front, considering essential ship qualities in a specific operational context. The object-oriented structure of the program modules makes them independently reusable for a wide range of applications.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKondratenko, A & Kujala, P 2021, A framework for multi-objective optimization of Arctic offshore support vessels . in Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021 . Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, Luleå tekniska universitet, International Conference on Port and Ocean Engineering under Arctic Conditions, Moscow, Russian Federation, 14/06/2021 . < https://www.poac.com/Papers/2021/pdf/POAC21-089.pdf >en
dc.identifier.issn0376-6756
dc.identifier.issn2077-7841
dc.identifier.otherPURE UUID: c4f9afd2-456a-4824-afd6-393fc5109972en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/c4f9afd2-456a-4824-afd6-393fc5109972en_US
dc.identifier.otherPURE LINK: https://www.poac.com/Papers/2021/pdf/POAC21-089.pdfen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/76625359/POAC21_089.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/111641
dc.identifier.urnURN:NBN:fi:aalto-2021121510782
dc.language.isoenen
dc.publisherPOAC
dc.relation.ispartofseriesProceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021en
dc.relation.ispartofseriesProceedings of the International Conference on Port and Ocean Engineering under Arctic Conditionsen
dc.rightsopenAccessen
dc.subject.keywordShip designen_US
dc.subject.keywordOffshoreen_US
dc.subject.keywordArcticen_US
dc.subject.keywordMulti-objective optimizationen_US
dc.subject.keywordArtificial Bee Colony algorithmen_US
dc.titleA framework for multi-objective optimization of Arctic offshore support vesselsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

Files

Collections

[article-cris] Insinööritieteiden korkeakoulu / ENG