A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Dual-objective optimization for cost and carbon emissions of green residential buildings based on SVM-NSGA-II coupling
In order to further reduce the life cycle cost and carbon emissions of green residential buildings, this paper proposes a dual-objective optimization framework based on the coupling of Support Vector Machine (SVM) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The framework simulates the design process and calculates the corresponding life cycle cost and carbon emissions from a design perspective. By using the SVM-NSGA-II algorithm, optimal solutions for green residential building designs are obtained. This approach is then applied to a green building project in Beijing, aiming to achieve a win-win situation in terms of economic and environmental benefits.
Dual-objective optimization for cost and carbon emissions of green residential buildings based on SVM-NSGA-II coupling
In order to further reduce the life cycle cost and carbon emissions of green residential buildings, this paper proposes a dual-objective optimization framework based on the coupling of Support Vector Machine (SVM) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The framework simulates the design process and calculates the corresponding life cycle cost and carbon emissions from a design perspective. By using the SVM-NSGA-II algorithm, optimal solutions for green residential building designs are obtained. This approach is then applied to a green building project in Beijing, aiming to achieve a win-win situation in terms of economic and environmental benefits.
Dual-objective optimization for cost and carbon emissions of green residential buildings based on SVM-NSGA-II coupling
Advances in Engineering res
Bilgin, Hüseyin (editor) / Wen, Jiwei (editor) / Rahhal, Muhsin Elie (editor) / Xu, Bing (author) / Zhao, Meng (author)
International Conference on Civil Engineering, Environment Resources and Energy Materials ; 2023 ; Xiamen, China
2023-12-14
8 pages
Article/Chapter (Book)
Electronic Resource
English
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