Strategy of Sustainability Algorithm in Industrial Product Design Using Multi-Objective Genetic Algorithm

Due to the continuous growth of Computer aided design (CAD) technology, it has been widely used in the field of industrial product design. In order to improve the application effect of CAD in industrial design and practice the concept of sustainable growth of industrial product design, this article proposes an industrial process optimization algorithm of Computer aided industrial design (CAID) based on multi-objective Genetic algorithm (GA). In this algorithm, sustainability factors are included in the optimization objective, and the tradeoff and optimization among multiple objectives, such as cost, performance, resource utilization and environmental impact, are considered. By optimizing the product design process, the algorithm can help enterprises to achieve more efficient and environmentally friendly product design and improve the market competitiveness of products. The algorithm is described in detail in this article, and its effectiveness is verified by experiments. Experiments show that the multi-objective GA has fast convergence speed and good robustness and adaptability. Moreover, the multi-objective GA has a low RMSE value, only 0.514; the accuracy of the optimization results is high, and the optimal solution that meets the actual needs can be found with high accuracy. © 2024 U-turn Press LLC.