English：

Timberwork buildings are increasingly applied in the modern construction field, due to theadvantages in energy efficiency, environmental protection, and high prefabrication levels, the systematicoptimization of the construction sequence for timberwork structures is crucial for ensuring constructionprogress, reducing costs, and improving resource utilization. To solve the problem of optimizing theconstruction organization, a multi-objective optimization method based on NSGA-Ⅱ algorithm isproposed. Under the constraints of construction logic and resource availability, a multi-objectivemathematical model is established with project duration and worker scheduling costs as the objectivefunctions, to optimize the construction sequence, the NSGA-Ⅱ algorithm and particle swarm optimizationsolutions are compared with the original construction plan. The results indicate that, both algorithmsdemonstrate significant optimization effects compared to the original plan,with the NSGA-Ⅱ optimizedsolution, reducing project duration by 8.7% and worker scheduling costs by 5.6% compared to theparticle swarm optimization solution. Validation through practical examples shows that, this method isreliable and effective, providing decision support for optimizing timberwork construction organization.