Researchers propose a new method for allocating resources to suppress wildfires, which is modeled as a complex optimization problem on a graph. They prove that this problem is NP-complete and develop a mixed-integer programming formulation that outperforms earlier approaches. Additionally, they introduce a physics-based instance generator to create more realistic benchmark scenarios. Their work aims to improve the effectiveness of wildfire suppression strategies. --- Why it matters: This research matters because it addresses the growing concern of wildfires worldwide. The proposed method can help optimize resource allocation for fire suppression, which is crucial for saving lives and reducing economic losses. Source: https://arxiv.org/abs/2603.29865