Abstract: In the process of prefabricated panel hoisting, there are some problems such as unreasonable path planning, low utilization rate of crane and low construction safety, and the traditional method lacks dynamic adjustment ability. Therefore, a hoisting optimization strategy of prefabricated concrete slab based on improved genetic algorithm and building information modeling technology is proposed to optimize the hoisting path and construction scheduling, and realize the modeling and dynamic adjustment of the hoisting process. The experimental results show that compared with the traditional empirical method, the improved genetic algorithm optimization strategy can shorten the lifting path to 112.50 m, the construction time to 97.20 min, and the crane movement times to 67 times. At the same time, the dynamic adjustment of building information model technology can quickly optimize the hoisting scheme in emergencies, shorten the response time of construction adjustment to 4.95 s-5.75 s, and reduce the construction error to less than 4.80 min, which improves the construction adaptability. In addition, the optimization strategy controlled the crane load overrun rate below 4%, reducing the final construction cost from 4499500 yuan to 3328500 yuan. The research provides scientific theoretical support for intelligent prefabricated building hoisting optimization, which is of great significance for improving construction efficiency and enhancing the intelligent level of construction management.