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Three evolutionary statistical parallel methods for uncertainty reduction in wildland fire prediction., , , , and . HPCS, page 721-728. IEEE, (2016)A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System., , and . IPDPS Workshops, page 798-806. IEEE, (2022)Automatic Generation of Dynamic Tuning Techniques., , , and . Euro-Par, volume 4641 of Lecture Notes in Computer Science, page 13-22. Springer, (2007)Optimization for an Uncertainty Reduction Method Applied to Forest Fires Spread Prediction., , , and . CACIC, volume 790 of Communications in Computer and Information Science, page 13-23. Springer, (2017)A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction., , , , , and . ICCS, volume 108 of Procedia Computer Science, page 2018-2027. Elsevier, (2017)HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction., , and . JCC-BD&ET, volume 1444 of Communications in Computer and Information Science, page 17-30. Springer, (2021)Calibration of the parameters of ESS system for Forest Fire prediction., and . CLEI, page 1-10. IEEE, (2013)A methodology for transparent knowledge specification in a dynamic tuning environment., , , and . Softw. Pract. Exp., 42 (3): 281-302 (2012)Extending the Usability of a Dynamic Tuning Environment.. Autonomous University of Barcelona, Spain, (2007)Environment for automatic development and tuning of parallel applications., , , and . HPCS, page 743-750. IEEE, (2016)