Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26419

TitleEvolutionary robustness analysis for multi-objective optimization : benchmark problems
Author(s)Gaspar-Cunha, A.
Ferreira, José C.
Recio, Gustavo
KeywordsRobustness
Multi-objective optimization
Test problems
Multidisciplinary
Issue date2014
PublisherSpringer
JournalStructural and Multidisciplinary Optimization
Abstract(s)This paper presents a new approach to robustness analysis in multi-objective optimization problems aimed at obtaining the most robust Pareto front solutions and distributing the solutions along the most robust regions of the optimal Pareto set. A new set of test problems accounting for the different types of robustness cases is presented in this study. Non-dominated solutions are classified according to their degree of robustness and are distributed along the Pareto front according to specific algorithm parameter values. Verification of the proposed method is carried out using the developed test problems and artificial and real world benchmark test problems present in the literature.
TypeArticle
DescriptionPublished online: 26 October 2013
URIhttp://hdl.handle.net/1822/26419
DOI10.1007/s00158-013-1010-x
ISSN1615-1488
1615-147X
Publisher versionhttp://link.springer.com/article/10.1007%2Fs00158-013-1010-x
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:IPC - Artigos em revistas científicas internacionais com arbitragem

Files in This Item:
File Description SizeFormat 
on-line_robustez.pdf
  Restricted access
2,2 MBAdobe PDFView/Open    Request a copy!

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