Research on Algorithms for Digital Design and Optimisation of Prefabricated Building Structures

As an important development direction of the modern construction industry, prefabricated construction has the advantages of significantly reducing construction time, conserving resources and being environmentally friendly. However, with the increasing complexity of projects, prefabricated construction faces many challenges in terms of design, material selection and construction scheduling. In order to address these issues, this paper proposes a digital design and multi-objective optimization framework for prefabricated construction, combined with BIM (building information modeling) technology and optimization algorithms. This paper analyses the characteristics of digital design of prefabricated building structures and discusses the application of intelligent algorithms such as genetic algorithms and particle swarm optimisation algorithms in material selection, structural optimisation and construction processes. Through experimental verification and practical case analysis, the results show that the combination of optimisation algorithms and BIM technology can significantly improve the design efficiency of prefabricated buildings, reduce costs and optimise construction processes. This study provides theoretical support and practical basis for the intelligent design of prefabricated buildings and promotes the development and innovation in this field.