Please use this identifier to cite or link to this item:
|Title:||Benchmarking deterministic optimization algorithms using an outranking approach|
Espírito Santo, I. A. C. P.
|Publisher:||Taylor and Francis|
|Journal:||Optimization 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.|
|Access:||Restricted access (UMinho)|
|Appears in Collections:||CAlg - Artigos em revistas internacionais/Papers in international journals|