Development of an integrated intelligent BIM-based model for multi-objective optimization in engineering assembly processes.

ABSTRACT: To enhance construction efficiency and economic performance in prefabricated building projects under limited resource conditions, this study proposes an integrated intelligent optimization model based on Building Information Modeling (BIM) semantic representation. The model is designed to generate optimal assembly plans under multi-objective trade-offs, achieving a balanced compromise between shortened construction periods, reduced costs, and minimized resource conflicts. The study begins by constructing an assembly semantic model using the publicly available BuildingNet dataset, extracting key components' geometric structures and spatial topology to establish a data foundation suitable for multi-objective scheduling modeling. A multi-objective particle swarm optimization (MOPSO) algorithm

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12629475 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature