Improved Design of Engineering Cost Model Based on Improved Genetic Algorithm

In order to solve the problems of traditional engineering cost model derivation process based on genetic algorithm complex, low convergence efficiency, and low accuracy of cost results, an improved design method of engineering cost model based on improved genetic algorithm is proposed. Through this algorithm, the cost model is optimized, better simulation data is selected, and the cost function model is constructed with the cost of the simulation data. The data parameter value is the accurate cost data calculated by the formula. Practice has proved that the dynamic cost precontrol system based on the improved genetic algorithm can effectively realize the dynamic precontrol of the project cost in the postearthquake building repair construction stage. As the number of cost samples increases, the error rate will gradually decrease, and the precontrol performance is good. Moreover, the flexibility of precontrol is always greater than 95%, and the use limit is only 0.04, which is highly practical and can be used as a reference for cost control of postearthquake building repair construction departments. The designed model can accurately and quickly estimate the project cost.