Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction

Journal of Computational Science

Volumn 3, Issue 5, 2012, Pages 398-404

  Denham, Mónica ^a   Wendt, Kerstin ^b   Bianchini, Germán ^c   Cortés, Ana ^b   Margalef, Tomàs ^b  

^a UNIVERSIDAD NACIONAL DE RÍO NEGRO   (Argentina)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c UNIVERSIDAD TECNOLÓGICA NACIONAL   (Argentina)

Author keywords

DDDAS; Forest fire; Genetic algorithm; Prediction quality; Simulation

Indexed keywords

COMPUTING POWER; DATA-DRIVEN APPLICATIONS; DDDAS; EXECUTION TIME; FOREST FIRE SPREAD; FOREST FIRES; HIGH PERFORMANCE COMPUTING SYSTEMS; INPUT DATAS; PREDICTION PROCESS; PREDICTION QUALITY; PROPAGATION MODELS; REAL FIRE; SIMULATION; WILDLAND FIRE;

DEFORESTATION; FIRES; GENETIC ALGORITHMS; INPUT OUTPUT PROGRAMS;

FORECASTING;

ALGORITHMS; DEFORESTATION; FOREST FIRES; SIMULATION;

EID: 84865384544     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2012.06.002     Document Type: Article

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