Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction von Strappa, Jan, Caymes-Scutari, Paola, Bianchini, Germán

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Hierarchical parallel model for improving performance on differential evolution von Tardivo, María Laura, Caymes‐Scutari, Paola, Bianchini, Germán, Méndez‐Garabetti, Miguel

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Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction von Denham, Mónica, Wendt, Kerstin, Bianchini, Germán, Cortés, Ana, Margalef, Tomàs

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Increase in the quality of the prediction of a computational wildfire behavior method through the improvement of the internal metaheuristic von Méndez-Garabetti, Miguel, Bianchini, Germán, Caymes-Scutari, Paola, Tardivo, María Laura

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A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction von Tardivo, María Laura, Caymes-Scutari, Paola, Bianchini, Germán, Méndez-Garabetti, Miguel, Cencerrado, Andrés, Cortés, Ana

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Wildland fire growth prediction method based on Multiple Overlapping Solution von Bianchini, Germán, Denham, Mónica, Cortés, Ana, Margalef, Tomàs, Luque, Emilio

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Hybrid-Parallel Uncertainty Reduction Method Applied to Forest Fire Spread Prediction von Miguel Méndez Garabetti, BIanchini, Germán, Tardivo, María Laura, Scutari, Paola Caymes, Gil Costa, Graciela Verónica

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Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ‘ESS’ von Bianchini, Germán, Scutari, Paola Caymes

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Estimation of Volume Rendering Efficiency with GPU in a Parallel Distributed Environment von Monte, Cristian Federico Perez, Piccoli, Fabiana, Luciano, Cristian, Rizzi, Silvio, Bianchini, Germán, Scutari, Paola Caymes

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Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison von Bianchini, Germán, Cortés, Ana, Margalef, Tomàs, Luque, Emilio

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Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM von Méndez-Garabetti, Miguel, Bianchini, Germán, Tardivo, María Laura, Caymes-Scutari, Paola

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Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction von Bianchini, G., Caymes-Scutari, P., Méndez-Garabetti, M.

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Wildland fire risk maps using S2F2M von BIanchini, Germán, Cortés, Ana, Margalef, Tomás, Emilio Luque Fadón, Chuvieco, Emilio, Camia, Andrea

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A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System von Strappa, Jan, Caymes-Scutari, Paola, Bianchini, Germán

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Wildland Fire Prediction based on Statistical Analysis of Multiple Solutions von Bianchini, Germán

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Between classical and ideal: enhancing wildland fire prediction using cluster computing von Abdalhaq, Baker, Cortés, Ana, Margalef, Tomàs, Bianchini, Germán, Luque, Emilio

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Improving forest-fire prediction by applying a statistical approach von Bianchini, Germán, Denham, Mónica, Cortés, Ana, Margalef, Tomàs, Luque, Emilio

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A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System von Strappa, Jan, Caymes-Scutari, Paola, Bianchini, Germán

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Graduate students learning strategies through research collaboration von Argollo, Eduardo, Hanzich, Mauricio, Mostaccio, Diego, Bianchini, Germán, Fritzsche, Paula, Bonàs, Ferran, Luque, Emilio, Moure, Juan Carlos, Rexachs, Dolores

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Graduate students learning strategies through research collaboration von Argollo, Eduardo, Hanzich, Mauricio, Mostaccio, Diego, Bianchini, German, Fritzsche, Paula, Bonas, Ferran, Luque, Emilio, Moure, Juan Carlos, Rexachs, Dolores

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