Expected Dispatches of Firefighting Helicopters Under the Optimal Strategy
Overview
This project investigates a scenario in which a group of houses is on fire, prompting the fire department to deploy helicopters. Each dispatch extinguishes the target house's fire, with each adjacent house having a 50% chance of also being extinguished. The goal is to determine the optimal helicopter positions to minimize the expected number of dispatches required to extinguish the fire and calculate this expected number. We explore four house arrangements: 1. A linear arrangement of n houses. 2. A circular arrangement of n houses. 3. A T-shaped arrangement with j and k houses connected to two central houses. 4. A circular arrangement of n houses attached to a linear tail of m houses. By analyzing the graphical structure of each arrangement using recurrence relations, complex numbers, and characteristic polynomials, we determine the best dispatching strategies and compute the expected number of dispatches. For the linear arrangement, the optimal firefighting positions are independent of the number of houses. This strategy is then applied to the circular and T-shaped arrangements. The results for the circular arrangement with a linear tail are particularly interesting. The optimal strategy varies based on the values of n and m depending on whether n = 6 or n = 5. Finally, we derive the generating functions for the expected number of dispatches under the optimal strategies for each arrangement, thereby fully solving the four scenarios described above.
Competition history
- ISEF 2025
Resources
Related projects
ISEF · 2015
Mathematical Fire Fighting: Combating Fire with Delaunay Triangulation and Longitudinal-Reversible Cellular Automata
ISEF · 2023
Developing a Deep Learning Model to Approximate the Convolutional Geometry of Wildfires
ISEF · 2026
The Repelling Propellers Problem: Optimizing Energy Configurations in Orbital Patterns
ISEF · 2017
The Paradox of Doing It Wrong in Order to Do It Right
ISEF · 2022
It's Flaming Out: Using Artificial Intelligence To Emulate Critical Aspects of Wildfire Growth
ISEF · 2025
A Heat-Sensitive, Self-Activating, Easy-To-Launch Fire Grenade Device
CWSF · 2026
Phoenix: Wildfire Prevention using an Autonomous Bionic Morphing Ornithopter and AI Models
ISEF · 2025
A Multilayer Perceptron Based Neural Network Model to Identify Optimal Camera Locations for Early Detection of Wildfires
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: Regeneron International Science and Engineering Fair