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dc.contributor.authorRuiz, Ana B.
dc.contributor.authorSindhya, Karthik
dc.contributor.authorMiettinen, Kaisa
dc.contributor.authorRuiz, Francisco
dc.contributor.authorLuque, Mariano
dc.date.accessioned2015-10-27T10:30:35Z
dc.date.available2018-04-24T21:45:08Z
dc.date.issued2015
dc.identifier.citationRuiz, A. B., Sindhya, K., Miettinen, K., Ruiz, F., & Luque, M. (2015). E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method. <i>European Journal of Operational Research</i>, <i>246</i>(1), 218-231. <a href="https://doi.org/10.1016/j.ejor.2015.04.027" target="_blank">https://doi.org/10.1016/j.ejor.2015.04.027</a>
dc.identifier.otherCONVID_24719948
dc.identifier.otherTUTKAID_66213
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/47459
dc.description.abstractInteractive multiobjective optimization methods cannot necessarily be easily used when (industrial) multiobjective optimization problems are involved. There are at least two important factors to be considered with any interactive method: computationally expensive functions and aspects of human behavior. In this paper, we propose a method based on the existing NAUTILUS method and call it the Enhanced NAUTILUS (E-NAUTILUS) method. This method borrows the motivation of NAUTILUS along with the human aspects related to avoiding trading-off and anchoring bias and extends its applicability for computationally expensive multiobjective optimization problems. In the E-NAUTILUS method, a set of Pareto optimal solutions is calculated in a pre-processing stage before the decision maker is involved. When the decision maker interacts with the solution process in the interactive decision making stage, no new optimization problem is solved, thus, avoiding the waiting time for the decision maker to obtain new solutions according to her/his preferences. In this stage, starting from the worst possible objective function values, the decision maker is shown a set of points in the objective space, from which (s)he chooses one as the preferable point. At successive iterations, (s)he always sees points which improve all the objective values achieved by the previously chosen point. In this way, the decision maker remains focused on the solution process, as there is no loss in any objective function value between successive iterations. The last post-processing stage ensures the Pareto optimality of the final solution. A real-life engineering problem is used to demonstrate how E-NAUTILUS works in practice.
dc.language.isoeng
dc.publisherElsevier BV * North-Holland; Association of European Operational Research Societies
dc.relation.ispartofseriesEuropean Journal of Operational Research
dc.subject.otherComputational cost
dc.subject.otherInteractive methods
dc.subject.otherMultiple criteria optimization
dc.subject.otherMultiple objective programming
dc.subject.otherTrading-off
dc.titleE-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201510273499
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.updated2015-10-27T10:15:03Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange218–231
dc.relation.issn0377-2217
dc.relation.numberinseries1
dc.relation.volume246
dc.type.versionacceptedVersion
dc.rights.copyright© 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.doi10.1016/j.ejor.2015.04.027
dc.type.okmA1


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