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dc.contributor.authorOjalehto, Vesa
dc.contributor.authorPodkopaev, Dmitry
dc.contributor.authorMiettinen, Kaisa
dc.contributor.editorHandl, Julia
dc.contributor.editorHart, Emma
dc.contributor.editorLewis, Peter R.
dc.contributor.editorLópez-Ibáñez, Manuel
dc.contributor.editorOchoa, Gabriela
dc.contributor.editorPaechter, Ben
dc.date.accessioned2016-10-03T05:59:11Z
dc.date.available2016-10-03T05:59:11Z
dc.date.issued2016
dc.identifier.citationOjalehto, V., Podkopaev, D., & Miettinen, K. (2016). Towards Automatic Testing of Reference Point Based Interactive Methods. In J. Handl, E. Hart, P. R. Lewis, M. López-Ibáñez, G. Ochoa, & B. Paechter (Eds.), <i>Parallel Problem Solving from Nature – PPSN XIV : 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings</i> (pp. 483-492). Springer International Publishing. Lecture Notes in Computer Science, 9921. <a href="https://doi.org/10.1007/978-3-319-45823-6_45" target="_blank">https://doi.org/10.1007/978-3-319-45823-6_45</a>
dc.identifier.otherCONVID_26242160
dc.identifier.otherTUTKAID_71322
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51495
dc.description.abstractIn order to understand strengths and weaknesses of optimization algorithms, it is important to have access to different types of test problems, well defined performance indicators and analysis tools. Such tools are widely available for testing evolutionary multiobjective optimization algorithms. To our knowledge, there do not exist tools for analyzing the performance of interactive multiobjective optimization methods based on the reference point approach to communicating preference information. The main barrier to such tools is the involvement of human decision makers into interactive solution processes, which makes the performance of interactive methods dependent on the performance of humans using them. In this research, we aim towards a testing framework where the human decision maker is replaced with an artificial one and which allows to repetitively test interactive methods in a controlled environment.
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofParallel Problem Solving from Nature – PPSN XIV : 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.subject.othermultiobjective optimization
dc.subject.otherEMO
dc.subject.othertesting framework
dc.subject.otherdecision maker’s preferences
dc.subject.otherpreference information
dc.subject.otheraspiration level
dc.titleTowards Automatic Testing of Reference Point Based Interactive Methods
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201609304242
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.updated2016-09-30T12:15:12Z
dc.relation.isbn978-3-319-45822-9
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange483-492
dc.relation.issn0302-9743
dc.type.versionacceptedVersion
dc.rights.copyright© Springer International Publishing AG. 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.conferenceInternational Conference on Parallel Problem Solving From Nature
dc.relation.doi10.1007/978-3-319-45823-6_45
dc.type.okmA4


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