Multi-objective intelligent matching method for aluminum alloy formwork based on differential particle swarm optimization algorithm
A two-stage multi-objective constrained optimization method of aluminum alloy formwork matching was proposed to enhance design efficiency and address the issues of high processing costs and poor mechanical integrity that are often associated with manual design which tends to result in a significant number of templates,various types,and numerous non-standard components.Concrete components information was extracted for form-work matching by BIM technology,a corresponding multi-objective optimization mathematical model was estab-lished with the goal of minimizing both the quantity and the variety of aluminum alloy formwork used;differential parficle swarm optimization algorithm was used for solving,and then the optimal solution was automatically matched in the BIM model.This intelligent optimization method is applied to aluminum alloy formwork design.Compared with manual design,it reduces formwork quantity by 19.2%and variety by 37.5%,showcasing favora-ble results and confirming the algorithm's feasibility and effectiveness in optimizing aluminum alloy formwork.
NETL
NSTL
万方数据
