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Volumn 5103 LNCS, Issue PART 3, 2008, Pages 36-45
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Applying a dynamic data driven genetic algorithm to improve forest fire spread prediction
a a a a |
Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHMS;
BOOLEAN FUNCTIONS;
COMPUTER SYSTEMS;
DEFORESTATION;
DIESEL ENGINES;
FORECASTING;
FORESTRY;
GENETIC ALGORITHMS;
REAL TIME SYSTEMS;
STEERING;
SULFIDE MINERALS;
COMPUTATIONAL DATA;
COMPUTATIONAL SCIENCES;
COMPUTING POWERS;
DYNAMIC DATA;
EXECUTION TIME;
FOREST FIRE SPREADING;
FOREST FIRES;
HEIDELBERG (CO);
HIGH PERFORMANCE COMPUTING (HPC) SYSTEMS;
INPUT DATA;
INTERNATIONAL CONFERENCES;
REAL FIRE;
WILDLAND FIRES;
FIRES;
ALGORITHMS;
COMPUTATION;
DATA PROCESSING;
DEFORESTATION;
DIESEL ENGINES;
FORECASTS;
FOREST FIRES;
FORESTRY;
MATHEMATICAL MODELS;
MINERALS;
SULFIDES;
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EID: 47749095110
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-540-69389-5_6 Document Type: Conference Paper |
Times cited : (46)
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References (12)
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