IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization
| dc.contributor.author | Saborido, Rubén | |
| dc.contributor.author | Ruiz, Ana B. | |
| dc.contributor.author | Luque, Mariano | |
| dc.contributor.author | Miettinen, Kaisa | |
| dc.contributor.editor | Deb, Kalyanmoy | |
| dc.contributor.editor | Goodman, Erik | |
| dc.contributor.editor | Coello, Carlos A. Coello | |
| dc.contributor.editor | Klamroth, Kathrin | |
| dc.contributor.editor | Miettinen, Kaisa | |
| dc.contributor.editor | Mostaghim, Sanaz | |
| dc.contributor.editor | Reed, Patrick | |
| dc.date.accessioned | 2019-03-13T08:23:13Z | |
| dc.date.available | 2019-03-13T08:23:13Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Saborido, R., Ruiz, A. B., Luque, M., & Miettinen, K. (2019). IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization. In K. Deb, E. Goodman, C. A. C. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), <i>Evolutionary Multi-Criterion Optimization : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings</i> (pp. 618-630). Springer International Publishing. Lecture Notes in Computer Science, 11411. <a href="https://doi.org/10.1007/978-3-030-12598-1_49" target="_blank">https://doi.org/10.1007/978-3-030-12598-1_49</a> | |
| dc.identifier.other | CONVID_28954855 | |
| dc.identifier.other | TUTKAID_80866 | |
| dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/63115 | |
| dc.description.abstract | We propose a new interactive evolutionary multiobjective optimization method, IRA-EMO. At each iteration, the decision maker (DM) expresses her/his preferences as an interesting interval for objective function values. The DM also specifies the number of representative Pareto optimal solutions in these intervals referred to as regions of interest one wants to study. Finally, a real-life engineering three-objective optimization problem is used to demonstrate how IRA-EMO works in practice for finding the most preferred solution. | en |
| dc.format.extent | 757 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Springer International Publishing | |
| dc.relation.ispartof | Evolutionary Multi-Criterion Optimization : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings | |
| dc.relation.ispartofseries | Lecture Notes in Computer Science | |
| dc.rights | In Copyright | |
| dc.subject.other | evolutionary multi-objective optimization | |
| dc.subject.other | reference point | |
| dc.subject.other | region of interest | |
| dc.subject.other | interactive methods | |
| dc.title | IRA-EMO : Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization | |
| dc.type | conferenceObject | |
| dc.identifier.urn | URN:NBN:fi:jyu-201903071764 | |
| dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
| dc.contributor.laitos | Faculty of Information Technology | en |
| dc.contributor.oppiaine | Tietotekniikka | fi |
| dc.contributor.oppiaine | Multiobjective Optimization Group | fi |
| dc.contributor.oppiaine | Laskennallinen tiede | fi |
| dc.contributor.oppiaine | Mathematical Information Technology | en |
| dc.contributor.oppiaine | Multiobjective Optimization Group | en |
| dc.contributor.oppiaine | Computational Science | en |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
| dc.date.updated | 2019-03-07T07:15:13Z | |
| dc.relation.isbn | 978-3-030-12597-4 | |
| dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
| dc.description.reviewstatus | peerReviewed | |
| dc.format.pagerange | 618-630 | |
| dc.relation.issn | 0302-9743 | |
| dc.relation.numberinseries | 11411 | |
| dc.type.version | acceptedVersion | |
| dc.rights.copyright | © Springer Nature Switzerland AG 2019. | |
| dc.rights.accesslevel | openAccess | fi |
| dc.relation.conference | International Conference on Evolutionary Multi-Criterion Optimization | |
| dc.relation.grantnumber | 287496 | |
| dc.subject.yso | mieltymykset | |
| dc.subject.yso | monitavoiteoptimointi | |
| dc.format.content | fulltext | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p22910 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p32016 | |
| dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
| dc.rights.accessrights | ||
| dc.relation.doi | 10.1007/978-3-030-12598-1_49 | |
| dc.relation.funder | Suomen Akatemia | fi |
| dc.relation.funder | Research Council of Finland | en |
| jyx.fundingprogram | Akatemiahanke, SA | fi |
| jyx.fundingprogram | Academy Project, AoF | en |
| jyx.fundinginformation | This research is funded by the Spanish Government (ECO2017-88883-R and ECO2017-90573-REDT), the Andalusian Regional Government (SEJ-532) and the Academy of Finland (project 287496). Ana B. Ruiz thanks the post-doctoral fellowship “Captación de Talento para la Investigación” at the Univ. of Málaga. The research is related to thematic research area DEMO (Univ. of Jyvaskyla). | |
| dc.type.okm | A4 |
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