Project
FalCom
A Sampling Method for Districting and Hierarchical Facility Location
About
FalCom introduces a Markov chain Monte Carlo sampling method for solving districting and hierarchical facility location problems. The algorithm generates diverse, near-optimal solutions by exploring the combinatorial space of feasible districting plans, enabling rigorous statistical analysis of solution quality and fairness properties.
Interactive Visualizer
The FalCom Visualizer animates the Markov chain sampling process, showing how the algorithm traverses the solution space, the evolution of district boundaries, and convergence behavior in real time.
Open Visualizer →