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dc.contributor.authorHakanen, Jussi
dc.contributor.authorGold, David
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorReed, Patrick M.
dc.contributor.editorBrockhoff, Dimo
dc.contributor.editorEmmerich, Michael
dc.contributor.editorNaujoks, Boris
dc.contributor.editorPurshouse, Robin
dc.date.accessioned2023-08-30T10:03:55Z
dc.date.available2023-08-30T10:03:55Z
dc.date.issued2023
dc.identifier.citationHakanen, J., Gold, D., Miettinen, K., & Reed, P. M. (2023). Visualisation for Decision Support in Many-Objective Optimisation : State-of-the-art, Guidance and Future Directions. In D. Brockhoff, M. Emmerich, B. Naujoks, & R. Purshouse (Eds.), <i>Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective</i> (pp. 181-212). Springer. Natural Computing Series. <a href="https://doi.org/10.1007/978-3-031-25263-1_7" target="_blank">https://doi.org/10.1007/978-3-031-25263-1_7</a>
dc.identifier.otherCONVID_184088613
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/88802
dc.description.abstractThis chapter describes the state-of-the-art in visualisation for decision support processes in problems with many objectives. Visualisation is an important part of a constructive decision making process for examining real world many-objective problems. The chapter first illustrates how visualisation can be applied to problem framing, guided optimization, trade-off assessment and solution selection. Next, the chapter reviews state-of-the-art visualisation approaches in terms of what is available and what is typically used. Guidance is provided for choosing and applying visualisation techniques including recommendations from the field of visual analytics. These recommendations are illustrated through a complex real-world decision problem with ten objectives. Lastly, the chapter concludes with suggested future research directions for advancing the scope and impact of many-objective optimisation when confronting complex decision making contexts.en
dc.format.extent360
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofMany-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective
dc.relation.ispartofseriesNatural Computing Series
dc.rightsIn Copyright
dc.titleVisualisation for Decision Support in Many-Objective Optimisation : State-of-the-art, Guidance and Future Directions
dc.typebook part
dc.identifier.urnURN:NBN:fi:jyu-202308304839
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiaineMultiobjective Optimization Groupfi
dc.contributor.oppiainePäätöksen teko monitavoitteisestifi
dc.contributor.oppiaineMathematical Information Technologyen
dc.contributor.oppiaineComputational Scienceen
dc.contributor.oppiaineMultiobjective Optimization Groupen
dc.contributor.oppiaineDecision analytics utilizing causal models and multiobjective optimizationen
dc.type.urihttp://purl.org/eprint/type/BookItem
dc.relation.isbn978-3-031-25262-4
dc.type.coarhttp://purl.org/coar/resource_type/c_3248
dc.description.reviewstatuspeerReviewed
dc.format.pagerange181-212
dc.relation.issn1619-7127
dc.type.versionacceptedVersion
dc.rights.copyright© 2023 Springer Nature Switzerland AG
dc.rights.accesslevelopenAccessfi
dc.type.publicationbookPart
dc.relation.grantnumber311877
dc.subject.ysopäätöksenteko
dc.subject.ysomallintaminen
dc.subject.ysovisualisointi
dc.subject.ysoongelmanratkaisu
dc.subject.ysoilmakulkuneuvot
dc.subject.ysohuipputekniikka
dc.subject.ysotuotekehitys
dc.subject.ysomonitavoiteoptimointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
jyx.subject.urihttp://www.yso.fi/onto/yso/p3533
jyx.subject.urihttp://www.yso.fi/onto/yso/p7938
jyx.subject.urihttp://www.yso.fi/onto/yso/p6006
jyx.subject.urihttp://www.yso.fi/onto/yso/p1054
jyx.subject.urihttp://www.yso.fi/onto/yso/p3644
jyx.subject.urihttp://www.yso.fi/onto/yso/p2721
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-031-25263-1_7
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramProfilointi, SAfi
jyx.fundinginformationThis research was supported by the Academy of Finland (grant no 311877) and is related to the thematic research area DEMO (Decision Analytics utilising Causal Models and Multiobjective Optimisation, jyu.fi/demo) of the University of Jyväskylä. Partial funding for this work was provided by the National Science Foundation (NSF), Innovations at the Nexus of Food-Energy-Water Systems, Track 2 (Award 1639268).
dc.type.okmA3


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