Tag
AI algorithms are increasingly used in redistricting legal battles to generate and analyze millions of possible congressional maps, helping to detect partisan gerrymandering and influencing court rulings.
This paper introduces a composite-move Tabu search algorithm for spatial redistricting that improves solution quality and efficiency while preserving contiguity constraints.