Advances in Optimization and Wildfire

Proceedings of the First Optimization and Wildfire Conference, October 1-4 2024, Luso, Portugal
Erscheinungsjahr 2026
ISBN: 978-3-032-03107-5
Verlag: Springer

Buch, Englisch, 250 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Lecture Notes in Operations Research

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.

Zielgruppe

Research

Autoren/Hrsg.

Alvelos, Filipe

Martins, Isabel

Rocha, Ana Maria A. C.

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Technische Wissenschaften Bauingenieurwesen Gebäudebrandschutz
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung

Inhaltsverzeichnis

Stochastic Optimization for Scheduling Thinning Operations in Mediterranean Pine Forest Stands Under Fire Damage Risk.- Advances in decision support platforms for prioritizing investments in forest and rangeland restoration, risk reduction and biodiversity conservation.- A python framework for wildfire-related optimization, Part I: Design and fundamentals.- A MIP model for wildfire extended attack.-.  Integrating fire suppression in forest management.

Über Autor(innen)

Filipe Alvelos  is an Associate Professor at the Department of Production and Systems, School of Engineering, University of Minho, Portugal. His main research is devoted to the use of operations research and optimization (e.g. mixed integer programming, meta-heuristics, multi-objective, under uncertainty) to address relevant societal problems (e.g. kidney exchange programs, forest management, wildfire suppression) from modelling to software implementation. He is vice-president of the Portuguese Operational Research Society.

Isabel Martins  Isabel Martins is a professor at the School of Agriculture, University of Lisbon, Portugal, and a member of the Center for Mathematical Studies at the University of Lisbon. Her research focuses on operations research applied to various domains within the School of Agriculture, particularly forest management, with an emphasis on environmental and fire-related concerns.

Ana Maria A. C. Rocha  is an Associate Professor at the Department of Production and Systems (DPS), School of Engineering, University of Minho, Portugal. She is a researcher and coordinator of the “Systems Engineering and Operational Research (SEOR)” research group at the ALGORITMI Research Centre, University of Minho. She has been developing her scientific activity in the areas of systems engineering, optimization, and operational research. In particular, her research interests are in the global optimization, nonlinear optimization and mixed-integer programming areas.