Abstract
Cost accounting and financial management play an important role in accounting management, but there is a problem of poor analysis effect. Particle swarm optimization cannot solve the problem of cost accounting and financial management, and the analysis effect is inaccurate. Therefore, this paper proposes a genetic algorithm to carry out a comprehensive analysis of cost accounting and financial management. Firstly, a two-layer chromosome coding method and a decoding method are proposed, and a multiple crossing algorithm and mutation operator and selection strategy are constructed. Then, the optimal individual retention, individual selection times and population disturbance strategies are analyzed, and the precocious convergence of the algorithm is overcome to comprehensively analyze the cost accounting and financial management results. The simulation results show that compared with the particle swarm algorithm, the proposed method has a better effect in improving the accuracy of cost accounting and shortening the cost accounting time.
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Haiying, Y. (2023). Research on the Application of Computer Intelligence Technology in Cost Accounting and Financial Management. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_21
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DOI: https://doi.org/10.1007/978-3-031-43247-7_21
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