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Benchmarking deterministic optimization algorithms using an outranking approach

Title
Benchmarking deterministic optimization algorithms using an outranking approach
Type
Article in International Scientific Journal
Year
2016
Authors
Costa, L
(Author)
Other
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Santo, IE
(Author)
Other
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oliveira, p
(Author)
ICBAS
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Journal
Vol. 31
Pages: 1149-1168
ISSN: 1055-6788
Publisher: Taylor & Francis
Other information
Authenticus ID: P-00M-BF0
Abstract (EN): 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.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 20
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