Distributed Enviroment Framework for Optimization Experiments

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Abreu, P (Author) Other; Carlos Soares (Author) FEUP; Rui Camacho (Author) FEUP

Conference proceedings International

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

Pages: 256-259

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

Guimaraes, PORTUGAL, JUN 30-JUL 03, 2014

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Scientific classification

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4