Particle Swarm Algorithm-Based Integrated Tax and Finance Control Platform Construction
M. Sangeetha, P. Ravichandran, S. Kaliappan, I. Elsie Diana, Raja S, B S Sagar · 2023
With the rapid development of modern society, enterprises have also stepped into an era in which the modernization process is accelerating. There are more and more enterprise groups participating in market competition, and the degree of conglomeration is getting deeper and deeper. This trend has led to the scale of the group company. With the continuous expansion, the disconnection between the group's financial work and the group's business and even other links in the group's development process has become a common problem that plagues most enterprise groups. Enterprise groups must face the embarrassing situation of the failure of financial control work. Governance and disclosure of financial status and other aspects are still far from perfect. Some companies have suffered losses, abnormal financial conditions, and even bankruptcy for various reasons, especially because of the outbreak and spread of the financial crisis. The business is in serious financial trouble. On the basis of the particle swarm algorithm, crossover and mutation operations of the genetic algorithm are added to construct the particle swarm genetic hybrid algorithm. Through the example simulation, it can be seen that this method is used to complete the frequency domain design of the control system, which is simpler and more effective than the traditional correction method. Therefore, in this context, how to build a relatively complete financial management and control integration system to ensure the efficient operation of the group's business and the smooth achievement of the overall strategic goal has important research value. By reviewing the research on the integration of financial management and control in academia, it is found that the theoretical community has not given a detailed financial management and control integration system framework.