Research on Control Model Optimization of Mechanical Design System Based on Ant Colony Algorithm

In the environment of increasingly fierce global competition, more and more engineers are aware of the importance of facility layout to the entire manufacturing system. With the development of social economy, mechanical design has become an important model for realizing social economy. In the process of mechanical design, it is necessary to promote system control through arithmetic methods, improve the comprehensive control and management capabilities of mechanical systems, and create good internal conditions for comprehensive management innovation of mechanical systems. and external conditions. In the process of implementing the mechanical design system, it is necessary to follow the requirements of mechanization to ensure that the control of the mechanical system can meet the requirements of system management, to ensure that the system model can be fully optimized, so that the management ideas can be combined with the management model. With the rapid development of computer simulation technology, virtual reality technology shows vigorous vitality, and it is being integrated into all walks of life. This paper adopts the ant colony algorithm, which is a new bionic evolutionary algorithm in the field of optimization. The algorithm adopts distributed parallel computing mechanism, which is easy to combine with other methods and has strong robustness.