pyO3F—A Python Framework for Wildfire-Related Optimization Part II: Usage

Filipe Alvelos ()
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Filipe Alvelos: University of Minho, Department of Production and Systems/ALGORITMI Research Center/LASI, School of Engineering

A chapter in Advances in Optimization and Wildfire, 2026, pp 59-72 from Springer

Abstract: Abstract pyO3F is a Python framework to support the implementation of optimization approaches to wildfire-related problems. This paper follows a previous one (pyO3F—A python framework for wildfire-related optimization, Part I: Design and fundamentals) in which the design and the core classes of the Python framework pyO3F were introduced, along with a discussion of related work. Here, we describe and exemplify how pyO3F can be used to address wildfire optimization problems.

Keywords: Software; Fire spread simulation; Wildfire supression; Mixed integer programming (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-03108-2_4

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