Distributed Parallel Algorithm for Finite Element Multi-Computer System Considering Network Security Performance Evaluation

In the complex network topology of traditional finite element multi-microcomputer systems, the data transmission process can cause a series of errors. In order to improve the operation effect of finite element multicomputer systems, this paper proposes a distributed parallel algorithm for finite element multi-computer systems considering network security performance evaluation. Taking advantage of the complementarity of DE (Differential Evolution) and EP (Evolutionary Programming), this paper introduces EP under the framework of DE. It constructs a hybrid algorithm named DEEP (Differential Evolution Evolutionary Programming), which is dominated by DE and supplemented by EP. Moreover, this paper adopts the partition clustering technique to obtain a more accurate partition scheme. To verify the correctness of the distributed parallel algorithm, the distributed parallel algorithm proposed in this paper is studied through experiments. This article studies the use of parallel computing technology to accelerate the computational speed of DE for solving reactive power optimization problems and implements it on a microcomputer cluster platform. The required population size is reduced by improving the algorithm itself, thereby further accelerating computation or using smaller clusters to reduce costs. The distributed parallel algorithm proposed in this paper has been verified to have good stability at various frequencies through square wave experiments; the experimental analysis shows that the distributed parallel algorithm proposed in this paper is effective, and it verifies that the distributed parallel algorithm proposed in this paper has a certain promotion effect on the security improvement of the finite element multi-computer system. © (2024). All Rights Reserved.