Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51527

TitleBenchmarking deterministic optimization algorithms using an outranking approach
Author(s)Costa, Lino
Espírito Santo, I. A. C. P.
Oliveira, Pedro
KeywordsOptimization
Performance profiles
Multi-criteria decision-making
Issue date2016
PublisherTaylor and Francis
JournalOptimization Methods & Software
Abstract(s)The comparison of optimization algorithms, through different performance measures, is not straightforward and can be perceived as a multi-criteria problem. Performance profiles, although widely used, has some difficulties in comparing deterministic algorithms. In this work, an outranking approach is studied on a set of examples. The outranking relations, based on concordance and discordance matrices for given threshold values, can be translated into a graph that explicits these relations. The results indicate that the proposed approach elucidates the merits and the disadvantages of different solvers.
TypeArticle
URIhttp://hdl.handle.net/1822/51527
DOI10.1080/10556788.2016.1191484
ISSN1055-6788
e-ISSN1029-4937
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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