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Model of Ethanol Coupling to C4 Olefins Based on PSO-GA Algorithm

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DOI: 10.23977/jnca.2022.070102 | Downloads: 11 | Views: 268

Author(s)

Enjie Fang 1, Jing Zhang 2

Affiliation(s)

1 School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350116, China
2 College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, 350116, China

Corresponding Author

Enjie Fang

ABSTRACT

In order to explore the combination scheme and temperature setting of catalyst for ethanol coupling preparation of C4 olefins, the C4 olefin yield is taken as the objective function and the corresponding constraints are established. Then, the improved particle swarm optimization algorithm based on genetic algorithm is used to find the global optimal solution, and then the C4 olefin yield optimization model is established. The final result is obtained by MATLAB programming: under the optimal scheme, the C4 olefin yield can reach 47.98%.

KEYWORDS

Genetic algorithm, Particle swarm optimization algorithm, Chemical preparation conditions

CITE THIS PAPER

Enjie Fang, Jing Zhang, Model of Ethanol Coupling to C4 Olefins Based on PSO-GA Algorithm. Journal of Network Computing and Applications (2022) Vol. 7: 6-9. DOI: http://dx.doi.org/10.23977/jnca.2022.070102.

REFERENCES

[1] Jiang Qiyuan, Xie Jinxing, ye Jun Mathematical model [M], higher education press, may 2018
[2] Si Shoukui, sun Zhaoliang Mathematical modeling algorithm and application [M], National Defense Industry Press, April 2017
[3] Sun Huijun, Wang Xinhua Using artificial neural network to determine the weight of evaluation index [J] Journal of Shandong University of science and Technology (NATURAL SCIENCE EDITION), 2001, 20 (003): 84-86
[4] Wu Jinpei, Duan Fangyong Research on nonlinear time series prediction method based on neural network [J] Systems engineering, 1997 (05): 61-64
[5] Ma Jian, sun Zengqi, Ma, et al. Mutual information is copula enterprise [J] Tsinghua Science and Technology, 2011, 01(v.16): 53-56.

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