Author(s)

Tingyu An, Baobao Guo, Danning Yin, Tianri Wang

Corresponding Author

Tingyu An

Abstract

This paper explores a multi-objective optimization design method for the construction period based on Building Information Modeling (BIM) and Genetic Algorithm (GA). To address the multi-objective optimization issues of construction duration, cost, resource balancing, and others during the construction process, an optimization model integrating optimization and simulation functions is constructed. This model leverages the data integration and visualization capabilities of BIM technology and the global search and adaptive optimization characteristics of GA to conduct multi-objective optimization analysis on the two crucial stages of the construction period: "duration-cost" and "fixed duration-resource balancing". By revising the duration-cost relationship curve, improving the genetic mechanism and data processing methods of GA, effectively integrating the algorithm with the BIM platform, and introducing advanced technologies such as virtual construction and clash detection, efficient simulation and optimization of the construction process are achieved.

Keywords

BIM, Genetic Algorithm, construction period, multi-objective optimization, resource balancing, construction management, optimization model