Given the intricate joint structure of prefabricated buildings with multiple parameters, it's crucial to carefully balance and integrate these factors during multi-objective optimization. This ensures that the optimized outcomes satisfy not just structural performance criteria, but also economic and constructional needs. Therefore, a multi-objective optimization model for construction parameters of prefabricated buildings based on improved bee colony algorithm is proposed. BIM technology is used to integrate the data of all construction personnel and progress on site, and preprocess all data. Model parameter data is accessed through background program to create, modify and delete model elements. By establishing an accurate mathematical model, the behavior of joints under various stress conditions is simulated. The enhanced bee colony algorithm is employed to refine the model, accurately gauging the impact of different operation modes on planning while ensuring optimal outcomes. The membership function is used to process the multi-objective function. When the algorithm meets the termination condition, a group of Pareto optimal solutions are output. These solutions achieve the optimal balance on multiple performance indicators to complete the optimization. The experimental results show that, by comparing the performance data before and after optimization, the optimized joint has significantly improved in the bearing capacity, stability and durability. In the actual application process, the use of BIM technology to integrate and preprocess personnel, progress, and other data on the construction site not only ensures the accuracy of the data, but also optimizes the information collection process and improves the management efficiency of construction information. This helps the project team better grasp the construction progress, adjust the plan in a timely manner, and reduce delays and cost overruns caused by poor information.