Construction of Financial Sharing Service System for New Energy Enterprises Based on Particle Swarm Optimization Algorithm

Financial Shared Service (FSS) is key to achieving enterprise strategic objectives, resolving financial problems, and transforming financial management methods.In light of the increasingly serious financial crisis, new energy enterprises must adopt the latest information technology to change the FSS model.This can effectively address several issues, including low efficiency, poor quality, and high costs, in enterprise FSS.The FSS system is a large business system with a flexible structure and a vast scale, requiring careful design.Its progressiveness, reliability, and availability also need meticulous planning.This paper proposes the use of Quantum Particle Swarm Optimization (QPSO), based on an in-depth study of Particle Swarm Optimization (PSO).This approach can prevent particles from falling into local optimization traps and enhance the accuracy of the PSO algorithm.By improving the inertia weight, we increased the information exchange between individuals and enhanced population diversity.The experimental results in this paper demonstrate that when the number of tasks was 50, the time taken by PSO and QPSO for 50 iterations was 0.6 seconds and 0.7 seconds, respectively.For 400 iterations, it took 25.0 seconds and 13.8 seconds.When the number of tasks increased to 100, PSO and QPSO required 1.8 seconds and 1.6 seconds, respectively, for 50 iterations, and 47.5 seconds and 20.1 seconds, respectively, for 400 iterations.This indicates that QPSO is producing results more quickly.