Research Article
Multi-objective Optimization Method of Manufacturing Carbon Emissions Based on Firefly Algorithm
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343465, author={Jian Shen and Li Zhang and Musheng Ye and Jian Huo}, title={Multi-objective Optimization Method of Manufacturing Carbon Emissions Based on Firefly Algorithm}, proceedings={Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={IDEE}, year={2024}, month={2}, keywords={firefly algorithm; manufacturing industry; carbon emissions; multi; objective; optimization method}, doi={10.4108/eai.24-11-2023.2343465} }- Jian Shen
Li Zhang
Musheng Ye
Jian Huo
Year: 2024
Multi-objective Optimization Method of Manufacturing Carbon Emissions Based on Firefly Algorithm
IDEE
EAI
DOI: 10.4108/eai.24-11-2023.2343465
Abstract
The carbon emission optimization goal is easy to achieve local optima, which affects the optimization effect. Therefore, a multi-objective optimization method for manufacturing carbon emissions based on the firefly algorithm was designed. On the basis of the Firefly algorithm, a multi-objective optimization model for carbon emissions in the manufacturing industry was constructed, enabling other goals to achieve global optimization, fully considering the changes in energy structure, energy intensity, and economic changes, and achieving the carbon emission reduction task of the manufacturing industry. The comparative experimental results show that this method has good carbon emission optimization effect and can be applied in practical life.
