In today’s world, people are concerned about sustainable development, so it is particularly important to conduct product design and life cycle evaluation. However, traditional research methods have certain limitations in their impact on sustainable development. In view of the shortcomings in existing research, this project plans to use intelligent optimization algorithms to conduct sustainable design and life cycle evaluation of products. By comparing with traditional intelligent optimization algorithms, the feasibility of using intelligent optimization algorithms for energy conservation and emission reduction is discussed. Experiments have proven that this method has significant advantages in saving energy, reducing energy consumption, and reducing waste. On this basis, intelligent optimization methods are used to evaluate relevant data at each stage of the product life cycle. Research results show that the total carbon emissions of mobile phones using intelligent optimization algorithms have reached 2376, while those using intelligent optimization algorithms have reached 1837. The research results of this article will provide a theoretical basis for the realization of green design and life cycle evaluation of green products, and are of great significance to energy conservation and emission reduction. It can provide theoretical basis for product design and life cycle evaluation. Promote the implementation of sustainable development strategy