A backtracking-based combinatorial optimization algorithm for target matching in account reconciliation

This paper addresses the issue of matching two columns of data during account reconciliation by designing an appropriate combinatorial optimization algorithm. In the core computing region, we employ a backtracking search strategy to reduce both space and time complexity. The algorithm evaluates all possible combinations to identify the optimal match. Experiments demonstrate that the program exhibits robust anti-interference performance, making it suitable for real-world applications and thereby reducing the workload of reconciliation personnel.