A Multistage Stochastic Program to Optimize Prescribed Burning Locations Using Random Fire Samples
Selecting the optimal locations and timing for prescribed burning is challenging when considering uncertainties in weather, fire behavior, and future fire suppression. In this study, we present a sample average approximation (SAA) based multistage stochastic mixed integer program with recourse to op...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/13/6/930 |