A stochastic mixed integer program for modeling wildfire behavior and optimizing fire suppression operations
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Wildfire suppression decisions combine multiple objectives and risk management to form a complex background against which decision makers attempt to determine efficient management actions in a short period of time. Their decisions are necessarily dynamic in nature as a sequence of random events unfolds at each fire. This dissertation presents a stochastic mixed integer program with full recourse to simulate spatially explicit fire behavior for a single fire representing a distribution of probable changes in behavior in response to weather changes. Suppression decisions and fire behavior respond ...