Please use this identifier to cite or link to this item:

TitleAesthetic design using multi-objective evolutionary algorithms
Author(s)Gaspar-Cunha, A.
Loyens, Dirk
Hattum, F. W. J. van
KeywordsAesthetic design
Multi-objective evolutionary algorithms
Issue date2011
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
Abstract(s)The 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.
TypeConference paper
AccessOpen access
Appears in Collections:IPC - Resumos alargados em actas de encontros científicos internacionais com arbitragem

Files in This Item:
File Description SizeFormat 
Gaspar-Cunha, Loyens, Van Hattum_2011_Aesthetic Design Using Multi-Objective.pdf1,17 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID