Benchmarking deterministic optimization algorithms using an outranking approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

Costa, L (Autor) Outra; Santo, IE (Autor) Outra; oliveira, p (Autor) ICBAS

Revista

Título: Optimization Methods and Software

Vol. 31

Páginas: 1149-1168

ISSN: 1055-6788

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00M-BF0

DOI: 10.1080/10556788.2016.1191484

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20