In the context of the dual-carbon target, optimizing the design of buildings is a new way to achieve energy conservation and emission reduction. The rapid development of computer technology, it also greatly improves the efficiency of building optimization design. In order to more comprehensively grasp the application status of optimization technology based on numerical simulation in actual buildings, having outlined the main phases of the optimisation study, categorizing and analysing the advantages and disadvantages of various optimisation platforms, the performance of various optimization algorithms was summarized and compared. The analysis reveals that the optimization stage is mainly divided into three stages: pretreatment, optimization and post-processing. The optimization tools were divided into three categories according to the development purpose. The commonly used optimization algorithms include evolutionary algorithm, derivative-free search algorithm and hybrid algorithm, and the current optimization research still has a lot of space to explore and improve.