Näytä suppeat kuvailutiedot

dc.contributor.authorHakanen, Jussi
dc.contributor.authorMalmberg, Jose
dc.contributor.authorOjalehto, Vesa
dc.contributor.authorEyvindson, Kyle
dc.contributor.editorNicosia, Giuseppe
dc.contributor.editorPardalos, Panos
dc.contributor.editorGiuffrida, Giovanni
dc.contributor.editorUmeton, Renato
dc.contributor.editorSciacca, Vincenzo
dc.date.accessioned2019-11-21T12:37:06Z
dc.date.available2019-11-21T12:37:06Z
dc.date.issued2019
dc.identifier.citationHakanen, J., Malmberg, J., Ojalehto, V., & Eyvindson, K. (2019). Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space. In G. Nicosia, P. Pardalos, G. Giuffrida, R. Umeton, & V. Sciacca (Eds.), <i>LOD 2018 : Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers</i> (pp. 104-115). Springer. Lecture Notes in Computer Science, 11331. <a href="https://doi.org/10.1007/978-3-030-13709-0_9" target="_blank">https://doi.org/10.1007/978-3-030-13709-0_9</a>
dc.identifier.otherCONVID_28967579
dc.identifier.otherTUTKAID_80940
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/66476
dc.description.abstractIn this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results.en
dc.format.extent562
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofLOD 2018 : Machine Learning, Optimization, and Data Science. 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsIn Copyright
dc.subject.otherdata-driven optimization
dc.subject.othersurrogates
dc.subject.otherclustering
dc.subject.otherpreference information
dc.subject.otherdecision maker
dc.subject.otherboreal forest management
dc.titleData-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201911214960
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2019-11-21T07:15:13Z
dc.relation.isbn978-3-030-13708-3
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange104-115
dc.relation.issn0302-9743
dc.relation.numberinseries11331
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Nature Switzerland AG 2019
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Machine Learning, Optimization, and Data Science
dc.relation.grantnumber287496
dc.relation.grantnumber311877
dc.subject.ysoboreaalinen vyöhyke
dc.subject.ysoklusterit
dc.subject.ysopäätöksenteko
dc.subject.ysooptimointi
dc.subject.ysometsänhoito
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p16692
jyx.subject.urihttp://www.yso.fi/onto/yso/p18755
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p7534
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-13709-0_9
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramResearch profiles, AoFen
jyx.fundinginformationThis research was supported by the Academy of Finland (projects no. 311877 and 287496) and is related to the thematic research area DEMO of the University of Jyväskylä.
dc.type.okmA4


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