Advances in Optimization and Wildfire

Beschreibung

This book constitutes the proceedings of the First Optimization and Wildfire Conference, held in Luso, Portugal, from October 1-4, 2024. The book features state-of-the-art research results in wildfire management and optimization, highlighting the latest advances in operational research and decision-making methods, and offers innovative solutions to wildfire-related decision problems. It focuses on the application of these methods, including optimization models and solution approaches, to address the complex challenges posed by wildfires. By bringing together cutting-edge research and practical solutions, this book serves as a vital resource for researchers, practitioners, and policymakers dedicated to improving wildfire management and decision-making processes.

This book constitutes the proceedings of the First Optimization and Wildfire Conference, held in Luso, Portugal, from October 1-4, 2024. The book features state-of-the-art research results in wildfire management and optimization, highlighting the latest advances in operational research and decision-making methods, and offers innovative solutions to wildfire-related decision problems. It focuses on the application of these methods, including optimization models and solution approaches, to address the complex challenges posed by wildfires. By bringing together cutting-edge research and practical solutions, this book serves as a vital resource for researchers, practitioners, and policymakers dedicated to improving wildfire management and decision-making processes.

Autor*in

Filipe Alvelos

Themen in »Advances in Optimization and Wildfire«

Wildfire research Agriculture and forest management Forest fire research Fire suppression Optimization under uncertainty Simulation-optimization Multi-criteria decision analysis Wildland fire research Wildfire decision problems Fuel management Mathematical programming Combinatorial optimization Fire spread simulation Network optimization Forest management under fire potential

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