Open AccessMulti Objective Optimization Design of Building Construction Period based on BIM and Genetic Algorithm
Author(s) -
Zhao Dong,
Xin Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022184
Subject(s) - schedule , construction management , genetic algorithm , scheduling (production processes) , process (computing) , pre construction services , computer science , construction industry , project management , construction engineering , operations research , risk analysis (engineering) , engineering , systems engineering , project portfolio management , operations management , business , civil engineering , machine learning , operating system
China’s construction industry market competition is becoming increasingly fierce, which requires construction enterprises to gradually enhance the core competitiveness. Therefore, the construction period must be multi objective optimization (hereinafter referred to as MOO), which will improve the level of project management in the construction process. Through the MOO of construction period, we can achieve the overall cost optimization of construction projects. Through the coordination of construction project scheduling, we can improve the overall efficiency and efficiency of project operation, which will improve the utilization of resources and save the project cost. Genetic algorithm (hereinafter referred to as GA) can solve the adaptive global optimization probability search, which is a method to optimize the model process. By integrating GA into BIM platform, we introduce methods such as virtual construction and collision check, which can reasonably deal with complex MOO problems. The construction schedule and cost can be determined more quickly and reliably through the construction schedule. Therefore, this paper puts forward the MOO design among construction period, quality, safety and cost.