Distributed Enviroment Framework for Optimization Experiments

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Abreu, P (Autor) Outra; Carlos Soares (Autor) FEUP; Rui Camacho (Autor) FEUP

Ata de Conferência Internacional

Título: 2014 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA)

Páginas: 256-259

14th International Conference on Computational Science and Its Applications (ICCSA)

Guimaraes, PORTUGAL, JUN 30-JUL 03, 2014

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências Físicas > Ciência de computadores > Cibernética > Inteligência artificial

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-00A-4DH

DOI: 10.1109/iccsa.2014.59

Abstract (EN): Optimization studies often require very large computational resources to execute experiments. Furthermore, most of the time, the experiments are repetitions (same problem instances and same algorithm with the same parameters) that were carried out in past studies. In this work, we propose a framework for the execution of optimization experiments in a distributed environment and for the storage of the results as well as of the experimental conditions. The framework can support not only the organized execution of experiments but it also enables the reuse of the results in future studies.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4