Design of Energy Efficiency Management System for Mechanical and Electrical Equipment Based on Genetic Algorithm Optimization

With the acceleration of industrialization and the increasing shortage of energy resources, the energy efficiency management of electromechanical equipment is particularly crucial. This article proposes a management system design method based on GA (Genetic Algorithm) for optimizing the energy efficiency of electromechanical equipment. GA, inspired by natural selection and genetic mechanisms, has been widely applied in various optimization problems. This study first reviewed the basic principles of GA, including its encoding strategy, selection mechanism, cross operation, and mutation operation, among other key technologies. Through experimental verification, the results show that compared with traditional energy efficiency management methods, the method proposed in this paper shows significant advantages in convergence speed, solution quality, and system stability. In summary, this article provides a new and efficient optimization strategy for the field of energy efficiency management of electromechanical equipment, and its practicality and superiority have been verified through experiments. It is expected that this method can be further promoted and applied, contributing to the improvement of industrial energy efficiency.