dc.contributor.author | Hakanen, Jussi | |
dc.contributor.author | Gold, David | |
dc.contributor.author | Miettinen, Kaisa | |
dc.contributor.author | Reed, Patrick M. | |
dc.contributor.editor | Brockhoff, Dimo | |
dc.contributor.editor | Emmerich, Michael | |
dc.contributor.editor | Naujoks, Boris | |
dc.contributor.editor | Purshouse, Robin | |
dc.date.accessioned | 2023-08-30T10:03:55Z | |
dc.date.available | 2023-08-30T10:03:55Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Hakanen, 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.other | CONVID_184088613 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/88802 | |
dc.description.abstract | This 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.extent | 360 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective | |
dc.relation.ispartofseries | Natural Computing Series | |
dc.rights | In Copyright | |
dc.title | Visualisation for Decision Support in Many-Objective Optimisation : State-of-the-art, Guidance and Future Directions | |
dc.type | book part | |
dc.identifier.urn | URN:NBN:fi:jyu-202308304839 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Laskennallinen tiede | fi |
dc.contributor.oppiaine | Multiobjective Optimization Group | fi |
dc.contributor.oppiaine | Päätöksen teko monitavoitteisesti | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.contributor.oppiaine | Computational Science | en |
dc.contributor.oppiaine | Multiobjective Optimization Group | en |
dc.contributor.oppiaine | Decision analytics utilizing causal models and multiobjective optimization | en |
dc.type.uri | http://purl.org/eprint/type/BookItem | |
dc.relation.isbn | 978-3-031-25262-4 | |
dc.type.coar | http://purl.org/coar/resource_type/c_3248 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 181-212 | |
dc.relation.issn | 1619-7127 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2023 Springer Nature Switzerland AG | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | bookPart | |
dc.relation.grantnumber | 311877 | |
dc.subject.yso | päätöksenteko | |
dc.subject.yso | mallintaminen | |
dc.subject.yso | visualisointi | |
dc.subject.yso | ongelmanratkaisu | |
dc.subject.yso | ilmakulkuneuvot | |
dc.subject.yso | huipputekniikka | |
dc.subject.yso | tuotekehitys | |
dc.subject.yso | monitavoiteoptimointi | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p8743 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3533 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p7938 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p6006 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p1054 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3644 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2721 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p32016 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1007/978-3-031-25263-1_7 | |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Suomen Akatemia | fi |
jyx.fundingprogram | Research profiles, AoF | en |
jyx.fundingprogram | Profilointi, SA | fi |
jyx.fundinginformation | This 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.okm | A3 | |