Abstract
With the rapid development of CS and T and NT, great changes have taken place in the technology of financial MS. The traditional financial management architecture can not adapt to the distribution of management units and the large capacity of management data in the current information MS. This paper discusses the principle of GA, analyzes the key problems in the application of GA and the improved GA, summarizes the basic functional requirements of FD MS and the security requirements of FD analysis MS, and tests the FD analysis MS. The results show that the background data of the S runs well, the whole process S works normally, and the test results are consistent with the expected use case results.
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References
Hagan, E., Amoah, A., Kuada, J.: Foreign direct investment and economic growth nexus in Africa: new evidence from the new financial fragility measure. Afr. J. Econ. Manag. Stud. 11(1), 1–17 (2019)
Wali, S., Masmoudi, S.M.: Internal control and real earnings management in the French context. J. Fin. Rep. Acc. 18(2), 363–387 (2020)
Rafindadi, A.A., Olanrewaju, Z.A.: The impact of internal control system on the financial accountability of non-governmental organisations in Nigeria: evidence from the structural equation modelling. Int. Rev. Manag. Mark. 9(3), 49–63 (2019)
Rozental, O., White, R.S.: Anesthesia information management systems: evolution of the paper anesthetic record to a multisystem electronic medical record network that streamlines perioperative care - sciencedirect. J. Anesth. Hist. 5(3), 93–98 (2019)
Shakibaei, E.: Role of a hospital accreditation program in developing a process management system: a qualitative study. Int. J. Health Care Qual. Assur. 32(1), 00 (2019)
Dawid, H., Kopel, M.: on economic applications of the genetic algorithm: a model of the cobweb type. J. Evol. Econ. 8(3), 297–315 (2019)
Wang, Y., Su, Y.Q., Hensen, E., et al.: Finite-temperature structures of supported subnanometer catalysts inferred via statistical learning and genetic algorithm-based optimization. ACS Nano 14(10), 13995–14007 (2020)
Duan, L., et al. Real-time patient-specific ECG arrhythmia detection by quantum genetic algorithm of least squares twin SVM. J. Beijing Inst. Technol. 29(103), 32–40 (2020)
Hraiech, S.E., Chebbi, A.H., Affi, Z., et al.: Genetic algorithm coupled with the Krawczyk method for multi-objective design parameters optimization of the 3-UPU manipulator. Robotica 38(6), 1138–1154 (2020)
Liu, D., Li, H., Wu, L., et al.: Time-to-event supervised genetic algorithm enables induction chemotherapy decision making for nasopharyngeal carcinoma. IEEE Access (99),1–1 (2021)
Zhao, X., Huang, G., Mousoli, R.: A multi-threading solution to multimedia traffic in NIDS based on hybrid genetic algorithm. Int. J. Netw. Secur. 22(3), 427–436 (2020)
Na, A., Fa, A., Dsc, C., et al.: Development and validation of a hybrid aerodynamic design method for curved diffusers using genetic algorithm and ball-spine inverse design method. Alex. Eng. J. 60(3), 3021–3036 (2021)
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Liu, H., Li, S. (2023). Financial Data Management System Based on Genetic Algorithm. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_46
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DOI: https://doi.org/10.1007/978-981-99-1428-9_46
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