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dc.contributor.authorGaspar-Cunha, A.-
dc.contributor.authorLoyens, Dirk-
dc.contributor.authorHattum, F. W. J. van-
dc.description.abstractThe use of computational methodologies for the optimization of aesthetic parameters is not frequent mainly due to the fact that these parameters are not quantifiable and are subjective. In this work an interactive methodology based on the use of multi-objective optimization algorithms is proposed. This strategy associates the results of different optimization runs considering the existent quantifiable objectives and different sets of boundary conditions concerning the decision variables, as defined by an expert decision maker. The associated results will serve as initial population of solutions for a final optimization run. The idea is that a more global picture of potential ”good” solutions can be found. At the end this will facilitate the work of the expert decision maker since more solutions are available. The method was applied to a case study and the preliminary results obtained showed the potentially of the strategy adopted.por
dc.description.sponsorshipOne of the authors acknowledges the financial support received by the Portuguese Science Foundation under grant SFRH/BD/44600/ 2008.por
dc.publisherSpringer Verlagpor
dc.subjectAesthetic designpor
dc.subjectMulti-objective evolutionary algorithmspor
dc.titleAesthetic design using multi-objective evolutionary algorithmspor
oaire.citationConferenceDate5-8 April 2011por
oaire.citationConferencePlaceOuro Preto, Brazilpor
oaire.citationTitleEMO 2011 - Evolutionary Multi-Criterion Optimizationpor
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationEMO 2011 - Evolutionary Multi-Criterion Optimizationpor
Appears in Collections:IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem

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