Preceding crops changed greenhouse gases emission and carbon neutrality under maize-rice and double rice cropping systems

Qin, Mingguang; Wang, Yanwen; Zhan, Mei; Sun, Meng; Cao, Cougui; Liu, Tianqi

doi:10.1080/03650340.2022.2116428

Cited by 1 publication

(1 citation statement)

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“…But this method has some limitations. Firefly algorithm can choose the optimal structure according to nature, and purify the targets with different structures, and imitate the flash characteristics of fireflies, and analyze the sensitivity and correlation between the targets, so as to make the optimized target reach the global optimum [3][4] . Therefore, combining the advantages of fireflies, this paper designs a multi-objective optimization method of carbon emission in manufacturing industry.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization Method of Manufacturing Carbon Emissions Based on Firefly Algorithm

Shen,

Zhang,

et al. 2024

Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023

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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.

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Section: Introductionmentioning

confidence: 99%