Rearch on the Management of Basement Roof Design Scheme based on Genetic Algorithm

In order to effectively analyze a basement, the designer must have a foundation. This foundation has a guiding role in the rationality of the basement. Design scheme management plays an important role in basement roof design, but there is the problem of inaccurate design positioning. Traditional particle swarm optimization can’t solve the scheme management problem in underground roof design. Therefore, a basement roof design management method based on genetic algorithm is put forward, and the basement roof design scheme management is analyzed. Through the theory of natural selection, the influencing factors are determined, and the indexes are divided into the requirements of design scheme management, so as to reduce the interference factors in design scheme management. Natural selection is used to form genetic algorithm to design drawings for drawing management, and the results of drawing management are comprehensively analyzed. Through MATLAB evaluation criteria, genetic algorithm is superior to traditional particle swarm optimization algorithm in terms of Waterproofing of design drawing management and time of influencing factors. This technical method can more effectively analyze the basement drawings and the overall situation, and improve the rationality of drawing design.