This video demonstrates how genetic algorithms (GAs) automatically solve complex land development problems by assembling land use patterns across a 3,600-cell geographic area. With a two-stage approach, the algorithm first ensures physical feasibility through infrastructure and zoning constraints, then evaluates economic returns and construction sequencing. The result shows how GAs can autonomously create financially viable development plans following only human-defined rules and constraints.
