Research on Multidimensional Computational Optimization of Enterprise Organizational Structure Supported by PSACO Algorithm in the Era of Digital Economy

The purpose of this paper is to study the multidimensional computational optimization problem of enterprise organization structure.Based on the value dimension, this paper designs a kind of enterprise organizational structure which contains six dimensions such as demand de inition, sales and so on.And the optimization model of enterprise organizational structure is studied by taking a demand-pull enterprise as an example.In the iterative process of the algorithm, the particle swarm optimization (PSO) algorithm and ant colony optimization (ACO) algorithm are run alternately to form the PSACO algorithm to solve the optimization model of enterprise organizational structure constructed in this paper.The experimental results show that the PSACO algorithm used in this paper can maintain stable and good convergence performance under different demand sizes.The enterprise organizational structure optimization model and solving algorithm in this paper can achieve ideal resource allocation scheme and effect, and can still achieve good solving effect in large-scale enterprise organizational structure optimization adjustment.It provides good decision support for the optimization and improvement of enterprise organizational structure in the era of digital economy, and has important application value.