Quantifying Gerrymandering with Simulated Annealing

This work applies Markov Chain Monte Carlo with Simulated Annealing to detect gerrymandering, showing it effectively generates representative voting distributions. Results on Texas demonstrate its speed and reliability in identifying bias in districting plans, offering a powerful analytical tool.

Read Paper