Show simple item record

dc.contributor.authorHakanen, Jussi
dc.contributor.authorRadoš, Sanjin
dc.contributor.authorMisitano, Giovanni
dc.contributor.authorSaini, Bhupinder S.
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorMatković, Krešimir
dc.date.accessioned2022-03-28T10:37:06Z
dc.date.available2022-03-28T10:37:06Z
dc.date.issued2022
dc.identifier.citationHakanen, J., Radoš, S., Misitano, G., Saini, B. S., Miettinen, K., & Matković, K. (2022). Interactivized : Visual Interaction for Better Decisions with Interactive Multiobjective Optimization. <i>IEEE Access</i>, <i>10</i>, 33661-33678. <a href="https://doi.org/10.1109/access.2022.3161465" target="_blank">https://doi.org/10.1109/access.2022.3161465</a>
dc.identifier.otherCONVID_117423579
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/80409
dc.description.abstractIn today’s data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs. Interactive multiobjective optimization methods are iterative processes in which a human decision maker repeatedly provides one’s preferences to request computing new solutions and compares them. With these methods, the decision maker can learn about the problem and its limitations. However, advanced optimization software usually offer simple visualization tools that can be significantly improved. On the other hand, current approaches for multiobjective optimization from the visualization community provide superior visualization tools but lack advanced optimization. In this paper, we introduce a new term, interactivize, for integrating interactive multiobjective optimization and interactive visualization and present an interactivized approach supporting decision makers in visually steering interactive multiobjective optimization methods. We integrate state-of-the-art interactive visualization with the process of interactive multiobjective optimization in a visual analytics solution that significantly improves the analysis workflow of decision makers, like comparing selected solutions and specifying new preferences during the iterative solution process. To realize the new interactivized approach, we combine a coordinated multiple views system with DESDEO, an open-source software framework for interactive multiobjective optimization. We demonstrate our interactivized approach on a river pollution problem.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Access
dc.rightsCC BY 4.0
dc.subject.othervisual analytics
dc.subject.othermultiple criteria decision making
dc.subject.otherinteractive optimization
dc.titleInteractivized : Visual Interaction for Better Decisions with Interactive Multiobjective Optimization
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202203282094
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiaineMultiobjective Optimization Groupfi
dc.contributor.oppiaineMathematical Information Technologyen
dc.contributor.oppiaineComputational Scienceen
dc.contributor.oppiaineMultiobjective Optimization Groupen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange33661-33678
dc.relation.issn2169-3536
dc.relation.volume10
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2022
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber322221
dc.relation.grantnumber311877
dc.subject.ysopäätöksentukijärjestelmät
dc.subject.ysointeraktiivisuus
dc.subject.ysoanalyysimenetelmät
dc.subject.ysomonitavoiteoptimointi
dc.subject.ysopäätöksenteko
dc.subject.ysolaskennallinen tiede
dc.subject.ysovisuaalisuus
dc.subject.ysooptimointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p27803
jyx.subject.urihttp://www.yso.fi/onto/yso/p10823
jyx.subject.urihttp://www.yso.fi/onto/yso/p6085
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
jyx.subject.urihttp://www.yso.fi/onto/yso/p21978
jyx.subject.urihttp://www.yso.fi/onto/yso/p20198
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1109/access.2022.3161465
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramResearch profiles, AoFen
jyx.fundinginformationThis work was partly supported by the Academy of Finland, grant numbers 311877 and 322221, and by the COMET program of the FFG (879730).


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

CC BY 4.0
Except where otherwise noted, this item's license is described as CC BY 4.0