Fleet Assignment Using Population-Based Incremental Learning

This paper proposes fleet assignment using population-based incremental learning (PBIL). Effectiveness of the proposed PBIL based method is verified by comparing with the conventional reactive tabu search (RTS) based method and the actual flight operation data. It is verified that the proposed PBIL based method can reduce costs more than the conventional RTS based method and the actual flight operation data.