INVESTIGADORES
CAYMES SCUTARI Paola Guadalupe
artículos
Título:
Comparative analysis of performance and quality of prediction between ESS and ESS-IM
Autor/es:
MIGUEL MENDEZ GARABETTI; GERMÁN BIANCHINI; LAURA TARDIVO; PAOLA CAYMES SCUTARI
Revista:
Electronic Notes in Theoretical Computer Science (ENTCS)
Editorial:
Elsevier
Referencias:
Año: 2015 vol. 314 p. 45 - 60
ISSN:
1571-0661
Resumen:
Wildfires cause major damage and losses around the world. Such damages range from human and economical losses to environmental ones. Therefore, having models to predict their behavior can be a key element in the process of firefighting. In this paper, we present a comparative study between two methods we have developed. Both methods use Statistical Analysis, Parallel Evolutionary Algorithms and High Performance Computing, respectively named: Evolutionary-Statistical System (ESS) and Evolutionary-Statistical System with Island Model (ESS-IM). In this study, we have compared these two methods in terms of quality of prediction and performance in the parallel environment.
