Performance Improvement of Art Design Drawing Tools Based on Multi-Objective Optimization Algorithm

With the rise of digital art design, the performance of drawing tools is directly related to the designer's work efficiency and creative experience. However, the existing drawing tools often have problems such as slow response and high resource occupation when facing complex design tasks. Therefore, this study proposes a performance improvement scheme based on multi-objective optimization algorithm, aiming at realizing the comprehensive optimization of tool response speed, resource utilization and stability. Firstly, this paper analyzes the key factors that affect the performance of drawing tools, and constructs a mathematical model with multiple optimization objectives. Then, the advanced multi-objective optimization algorithm is used to solve the model. The experimental results show that the average response time of the drawing tool processed by the multi-objective optimization algorithm is reduced by about 25%, and the CPU utilization rate is reduced by 21 % by the strategy of reducing resource occupation, which effectively reduces the system burden. These data fully prove the effectiveness of the method proposed in this study. This research result not only provides designers with more efficient and stable creative tools, but also provides new ideas and methods for the development and optimization of drawing software.