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dc.contributor.authorAfsar, Bekir
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorRuiz, Ana B.
dc.contributor.editorIshibuchi, Hisao
dc.contributor.editorZhang, Qingfu
dc.contributor.editorCheng, Ran
dc.contributor.editorLi, Ke
dc.contributor.editorLi, Hui
dc.contributor.editorWang, Handing
dc.contributor.editorZhou, Aimin
dc.date.accessioned2021-03-26T09:55:45Z
dc.date.available2021-03-26T09:55:45Z
dc.date.issued2021
dc.identifier.citationAfsar, B., Miettinen, K., & Ruiz, A. B. (2021). An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods : Evolutionary Multi-Criterion Optimization. In H. Ishibuchi, Q. Zhang, R. Cheng, K. Li, H. Li, H. Wang, & A. Zhou (Eds.), <i>Evolutionary Multi-Criterion Optimization : 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings</i> (pp. 619-631). Springer. Lecture notes in computer science, 12654. <a href="https://doi.org/10.1007/978-3-030-72062-9_49" target="_blank">https://doi.org/10.1007/978-3-030-72062-9_49</a>
dc.identifier.otherCONVID_52572548
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74854
dc.description.abstractComparing interactive evolutionary multiobjective optimization methods is controversial. The main difficulties come from features inherent to interactive solution processes involving real decision makers. The human can be replaced by an artificial decision maker (ADM) to evaluate methods quantitatively. We propose a new ADM to compare reference point based interactive evolutionary methods, where reference points are generated in different ways for the different phases of the solution process. In the learning phase, the ADM explores different parts of the objective space to gain insight about the problem and to identify a region of interest, which is studied more closely in the decision phase. We demonstrate the ADM by comparing interactive versions of RVEA and NSGA-III on benchmark problems with up to 9 objectives. The experiments show that our ADM is efficient and allows repetitive testing to compare interactive evolutionary methods in a meaningful way.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofEvolutionary Multi-Criterion Optimization : 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings
dc.relation.ispartofseriesLecture notes in computer science
dc.rightsIn Copyright
dc.subject.otherdecision making
dc.subject.otheraspiration levels
dc.subject.otherperformance comparison
dc.subject.othermany-objective optimization
dc.subject.otherinteractive methods
dc.titleAn Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods : Evolutionary Multi-Criterion Optimization
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202103262186
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-030-72061-2
dc.description.reviewstatuspeerReviewed
dc.format.pagerange619-631
dc.relation.issn0302-9743
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Nature Switzerland AG 2021
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Evolutionary Multi-Criterion Optimization
dc.relation.grantnumber322221
dc.relation.grantnumber311877
dc.subject.ysopäätöksenteko
dc.subject.ysooptimointi
dc.subject.ysomonimuuttujamenetelmät
dc.subject.ysomonitavoiteoptimointi
dc.format.contentfulltext
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/p2131
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-72062-9_49
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


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