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

Lei Peng

doi:10.1117/12.3052864

16 January 2025 A backtracking-based combinatorial optimization algorithm for target matching in account reconciliation

Lei Peng

Author Affiliations +

Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134472M (2025) https://doi.org/10.1117/12.3052864
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China

Abstract

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.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Peng "A backtracking-based combinatorial optimization algorithm for target matching in account reconciliation", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134472M (16 January 2025); https://doi.org/10.1117/12.3052864

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