Dynamic Estimation Method of Construction Cost Based on Particle Swarm Optimization Algorithm

The dynamic estimation method of project cost based on Particle swarm optimization algorithm is a new method of project cost evaluation. This method mainly introduces Particle swarm optimization algorithm into the process of project cost evaluation to optimize the parameters and weight distribution of the evaluation model, so as to improve the accuracy and reliability of the evaluation results. The main feature of this method is its dynamism, as it can adjust the evaluation model in real-time according to different engineering changes to achieve more accurate dynamic cost estimation. Therefore, this method can better cope with the complexity and variability of engineering construction. The specific realization of this method is to introduce the Particle swarm optimization algorithm, set the optimization model according to the estimation goal and range, and calculate and adjust the optimization goal of each parameter as the objective function. This method can be solved through multiple iterations to obtain the optimal solution, thereby achieving accurate calculation of dynamic estimation of engineering costs. In a word, the dynamic estimation method of project cost based on Particle swarm optimization algorithm can provide more accurate cost estimation results of buildings and related projects, and solve the problem that there is a large deviation between the accuracy of cost estimation and the actual cost in the industry. This method can not only improve the accuracy of engineering budgets, but also improve the efficiency and quality of construction, making positive contributions to the sustainable development of the construction industry.