Optimization of Construction Safety Investment in Prefabricated Buildings Based on Adaptive Mutation Particle Swarm Algorithm
For addressing the safety investment issues in prefabricated buildings,firstly,an actual engineering project was used as a case study to decompose the risk factors of prefabricated building construction safety.Secondly,a nonlinear programming model was established based on mathematical planning theory,and then three functional relationships were used for fitting.Finally,the adaptive mutation particle swarm optimization algorithm was employed for solving in Matlab to obtain a relatively optimal solution.The results indicate that among the primary safety risk factors,the risk factor associated with materials is the most sensitive to safety investment.Among the secondary risk factors,the selection of lifting equipment for prefabricated components appears to be the most sensitive,providing a reference for future directions in construction safety investment.
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