The congestion on university campuses, where numerous students traverse, needs to be alleviated for the prevention of crowd accidents and ensuring comfortable movement. Since modifying physical conditions such as building locations and pathway widths is challenging, this study focuses on controlling pedestrian flow and mitigating congestion by rearranging the arrangement of classrooms where lectures take place. While an ideal classroom arrangement, minimizing students' travel distances or times, would be effective in restraining pedestrian flow, it is impractical as it would result in repeatedly using only classrooms near campus entrances. Therefore, this research introduces the evaluation of movement costs considering congestion as a metric and utilizes genetic algorithms to explore classroom configurations that minimize these costs. Experimental results conducted on a timetable constructed based on real data confirm the effectiveness of dispersing classroom placements in alleviating congestion.
