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dc.contributor.authorHartikainen, Markus
dc.contributor.authorLovison, Alberto
dc.date.accessioned2015-05-25T05:33:12Z
dc.date.available2015-08-21T21:45:03Z
dc.date.issued2015
dc.identifier.citationHartikainen, M., & Lovison, A. (2015). PAINT-SiCon: constructing consistent parametric representations of Pareto sets in nonconvex multiobjective optimization. <i>Journal of Global Optimization</i>, <i>62</i>(2), 243-261. <a href="https://doi.org/10.1007/s10898-014-0232-9" target="_blank">https://doi.org/10.1007/s10898-014-0232-9</a>
dc.identifier.otherCONVID_23808032
dc.identifier.otherTUTKAID_62630
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/46011
dc.description.abstractWe introduce a novel approximation method for multiobjective optimization problems called PAINT–SiCon. The method can construct consistent parametric representations of Pareto sets, especially for nonconvex problems, by interpolating between nondominated solutions of a given sampling both in the decision and objective space. The proposed method is especially advantageous in computationally expensive cases, since the parametric representation of the Pareto set can be used as an inexpensive surrogate for the original problem during the decision making process.
dc.language.isoeng
dc.publisherSpringer New York LLC
dc.relation.ispartofseriesJournal of Global Optimization
dc.subject.othermultiple criteria programming
dc.subject.othernonlinear programming
dc.subject.otherpiecewise linear approximation
dc.titlePAINT-SiCon: constructing consistent parametric representations of Pareto sets in nonconvex multiobjective optimization
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201505221961
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2015-05-22T12:15:06Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange243-261
dc.relation.issn0925-5001
dc.relation.numberinseries2
dc.relation.volume62
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Science+Business Media New York 2014. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.doi10.1007/s10898-014-0232-9
dc.type.okmA1


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