Optimization design and application of high-rise building structure based on hybrid genetic algorithm

In the context of the continuous progress of big data and artificial intelligence technology, hybrid genetic algorithm has been proved to be an effective means to deal with complex optimization problems of high-rise building structures. Based on hybrid genetic algorithm, this paper comprehensively analyzes and discusses the wind resistance optimization design of tall buildings, summarizes the current research status of wind resistance design of tall buildings, emphasizes the attention to wind load characteristics, and puts forward a design method considering the joint probability distribution of wind speed and wind direction, reliability and performance. To solve this problem, the optimal criterion method is used to study the wind resistance optimization design of the bar section of tall building structure with the total weight or total cost of the structure as the objective function and the top displacement, the lateral movement between floors and the wind acceleration at the top as the constraint conditions. In order to improve the efficiency and reliability of the optimization algorithm, a hybrid genetic algorithm is introduced. The efficiency and correctness of the proposed wind resistance optimization algorithm are verified by an example analysis, which provides important theoretical support and practical guidance for the wind resistance design of high-rise buildings. In summary, through the application of hybrid genetic algorithm, this study puts forward an effective structural optimization design method for high-rise buildings, and verifies its feasibility and effectiveness in practice, which has important theoretical and practical significance.