首页|Carbon Emission Optimization for Assembled Buildings Using Interval Grey GERT Modelling and Modify NSGA-Ⅲ Algorithm in China
Carbon Emission Optimization for Assembled Buildings Using Interval Grey GERT Modelling and Modify NSGA-Ⅲ Algorithm in China
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NETL
NSTL
Korean Society Of Civil Engineers-Ksce
Developing prefabricated buildings is an effective means to reduce carbon emissions in the construction industry. Currently, research on project management of prefabricated buildings mainly focuses on multi-objective optimization of construction period cost quality issues, with little consideration given to the important environmental factor of carbon emissions. In this article, we propose a comprehensive optimization objective involving the carbon emissions, duration, cost and quality level of projects. Then, an interval grey GERT network is used to establish a multi-objective joint optimization model for the green construction of assembled buildings, and the modelling problem is solved with the modified NSGA-Ⅲ algorithm based on a local search approach with sparsity. Taking the affordable housing project on the north side of Shangfang in Nanjing as an example, compared with the original contract, it is shown that the improved NSGA-III algorithm can shorten the total construction period by 17.52%, reduce the total cost by 15.24%, increase the total quality level by 8.89%, and reduce carbon emissions by 33.64%. The establishment of a multi-objective joint optimization model and its solving algorithm for green construction in prefabricated building projects provides more specific guidance for green construction in uncertain environments.
Dept. of College of Management Science and Engineering Anhui University of Technology, Anhui Ma'anshan 243000, China||School of Management, University of Science and Technology of China
Dept. of College of Management Science and Engineering Anhui University of Technology, Anhui Ma'anshan 243000, China
NETL
NSTL
Korean Society Of Civil Engineers-Ksce
