dc.contributor.author | Tabatabaei, Mohammad | |
dc.contributor.author | Hartikainen, Markus | |
dc.contributor.author | Sindhya, Karthik | |
dc.contributor.author | Hakanen, Jussi | |
dc.contributor.author | Miettinen, Kaisa | |
dc.date.accessioned | 2019-05-24T05:52:48Z | |
dc.date.available | 2019-05-24T05:52:48Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Tabatabaei, M., Hartikainen, M., Sindhya, K., Hakanen, J., & Miettinen, K. (2019). An interactive surrogate-based method for computationally expensive multiobjective optimisation. <i>Journal of the Operational Research Society</i>, <i>70</i>(6), 898-914. <a href="https://doi.org/10.1080/01605682.2018.1468860" target="_blank">https://doi.org/10.1080/01605682.2018.1468860</a> | |
dc.identifier.other | CONVID_28059820 | |
dc.identifier.other | TUTKAID_77678 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/64164 | |
dc.description.abstract | Many disciplines involve computationally expensive multiobjective optimisation problems. Surrogate-based methods are commonly used in the literature to alleviate the computational cost. In this paper, we develop an interactive surrogate-based method called SURROGATE-ASF to solve computationally expensive multiobjective optimisation problems. This method employs preference information of a decision-maker. Numerical results demonstrate that SURROGATE-ASF efficiently provides preferred solutions for a decision-maker. It can handle different types of problems involving for example multimodal objective functions and nonconvex and/or disconnected Pareto frontiers. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Palgrave Macmillan Ltd. | |
dc.relation.ispartofseries | Journal of the Operational Research Society | |
dc.rights | CC BY-NC-ND 4.0 | |
dc.subject.other | multiple criteria decision-making (MCDM) | |
dc.subject.other | interactive methods | |
dc.subject.other | computational cost | |
dc.subject.other | black-box functions | |
dc.subject.other | metamodeling techniques | |
dc.subject.other | achievement scalarising function | |
dc.title | An interactive surrogate-based method for computationally expensive multiobjective optimisation | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201905222733 | |
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/JournalArticle | |
dc.date.updated | 2019-05-22T12:15:22Z | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 898-914 | |
dc.relation.issn | 0160-5682 | |
dc.relation.numberinseries | 6 | |
dc.relation.volume | 70 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2018 Operational Research Society | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.grantnumber | 287496 | |
dc.subject.yso | matemaattinen optimointi | |
dc.subject.yso | monitavoiteoptimointi | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p17635 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p32016 | |
dc.rights.url | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.relation.doi | 10.1080/01605682.2018.1468860 | |
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 work was partly funded by the COMAS Doctoral Program at the University of Jyvaskyla, the Academy of Finland [project No. 287496], Early Career Scheme (ECS) sponsored by the Research Grants Council of Hong Kong [project No. 21201414 (Dr. Matthias Hwai Yong Tan)] and the KAUTE Foundation. | |
dc.type.okm | A1 | |