Application of QPSO algorithm in layout optimization of construction platform of prefabricated buildings

Abstract

With the development of the times, the construction industry has become one of the important pillars of the national economy, but the architectural style under the traditional model is no longer suitable for my country's increasing demand for high-quality construction products. my country's construction industry has now entered a high-quality In the stage of development, prefabricated buildings have entered the era of rise. Prefabricated buildings generally adopt standardized design and standardized construction methods. The buildings have the characteristics of green, environmental protection and high efficiency. With the development of prefabricated buildings, the integration of QPSO algorithm and prefabricated technology has become a hot spot in current architectural design. This paper adopts The QPSO algorithm is applied to the layout optimization of the construction platform of the prefabricated building group, and the corresponding construction platform layout optimization scheme is proposed. In view of the weakness of the QPSO algorithm in the single particle search energy in the complex environment, the pheromone mechanism in the ACO algorithm is introduced to obtain The improved quantum particle swarm optimization algorithm, this paper mainly studies the layout optimization scheme of the construction platform of the prefabricated building group, verifies the feasibility of the entire optimization and simulation process, and forms a systematic, scientific and operable platform management process, from theory to practice. Prefabricated assembly Research on platform layout optimization and simulation of modern buildings. The final results of the research show that when the construction cost of the frame component is 50 yuan, the number of iterations of the QPSO algorithm is 196, the number of iterations of the PSO algorithm is 168, and the number of iterations of the GA algorithm is 156, and the number of iterations of the QPSO algorithm is greater than the other two algorithms.