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dc.contributor.authorHartikainen, Markus
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorWiecek, Margaret M.
dc.contributor.editorShi, Yong
dc.contributor.editorWang, Shouyang
dc.contributor.editorKou, Gang
dc.contributor.editorWallenius, Jyrki
dc.date.accessioned2016-08-23T12:21:13Z
dc.date.available2016-08-23T12:21:13Z
dc.date.issued2011
dc.identifier.citationHartikainen, M., Miettinen, K., & Wiecek, M. M. (2011). Decision Making on Pareto Front Approximations with Inherent Nondominance. In Y. Shi, S. Wang, G. Kou, & J. Wallenius (Eds.), <i>Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10</i> (pp. 35-45). Springer. Lecture Notes in Economics and Mathematical Systems, 648. <a href="https://doi.org/10.1007/978-3-642-19695-9_3" target="_blank">https://doi.org/10.1007/978-3-642-19695-9_3</a>
dc.identifier.isbn978-3-642-19694-2
dc.identifier.otherCONVID_20764040
dc.identifier.otherTUTKAID_47208
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51012
dc.description.abstractt Approximating the Pareto fronts of nonlinear multiobjective optimization problems is considered and a property called inherent nondominance is proposed for such approximations. It is shown that an approximation having the above property can be explored by interactively solving a multiobjective optimization problem related to it. This exploration can be performed with available interactive multiobjective optimization methods. The ideas presented are especially useful in solving computationally expensive multiobjective optimization problems with costly function value evaluations.
dc.format.extent213
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofProceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10
dc.relation.ispartofseriesLecture Notes in Economics and Mathematical Systems
dc.subject.otherMultiobjective Optimization
dc.titleDecision Making on Pareto Front Approximations with Inherent Nondominance
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201607283685
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/ConferencePaper
dc.date.updated2016-07-28T12:15:06Z
dc.relation.isbn978-3-642-19694-2
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange35-45
dc.relation.issn0075-8442
dc.type.versionacceptedVersion
dc.rights.copyright© 2011 Springer
dc.rights.accesslevelopenAccessfi
dc.subject.ysomonitavoiteoptimointi
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
dc.relation.doi10.1007/978-3-642-19695-9_3
dc.type.okmA4


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