Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM | Zendy

Miguel MéndezGarabetti | Zendy; Germán Bianchini | Zendy; María Laura Tardivo | Zendy; Paola CaymesScutari | Zendy

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Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM

Author(s) -

Miguel MéndezGarabetti,

Germán Bianchini,

María Laura Tardivo,

Paola CaymesScutari

Publication year - 2015

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2015.05.004

Subject(s) - computer science , evolutionary algorithm , range (aeronautics) , key (lock) , quality (philosophy) , statistical analysis , process (computing) , firefighting , damages , reliability engineering , machine learning , statistics , mathematics , engineering , computer security , philosophy , chemistry , organic chemistry , epistemology , law , political science , aerospace engineering , operating system

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

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