Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO2gas cooler

Jingyang Cai; Yichun Wang; Fen Guo; Hongzeng Ji; Xiaoyu Huang; Xiuhui Duan

doi:10.1109/IAECST57965.2022.10062230

Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler

Jingyang Cai, Yichun Wang, Fen Guo, Hongzeng Ji, Xiaoyu Huang, Xiuhui Duan

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Particle Swarm Optimization and Genetic Algorithm are bionic optimization algorithms. This paper takes CO2 louvered micro-channel gas cooler as an example and achieves multi-objective optimization with the objective function of maximum heat exchange and minimum cost. The optimization results show that the optimized results by both Particle Swarm Optimization and Genetic Algorithm are better than before optimization, and the optimization speed of Particle Swarm Optimization is faster.

Original language	English
Title of host publication	2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1565-1572
Number of pages	8
ISBN (Electronic)	9798350320008
DOIs	https://doi.org/10.1109/IAECST57965.2022.10062230
Publication status	Published - 2022
Event	4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022 - Virtual, Online, China Duration: 9 Dec 2022 → 11 Dec 2022

Publication series

Name	2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022

Conference

Conference	4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022
Country/Territory	China
City	Virtual, Online
Period	9/12/22 → 11/12/22

Keywords

COheat pump air conditioner
Genetic Algorithm
Particle Swarm Optimization
gas cooler

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IAECST57965.2022.10062230

Cite this

Cai, J., Wang, Y., Guo, F., Ji, H., Huang, X., & Duan, X. (2022). Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler. In 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022 (pp. 1565-1572). (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAECST57965.2022.10062230

Cai, Jingyang ; Wang, Yichun ; Guo, Fen et al. / Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler. 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1565-1572 (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022).

@inproceedings{a6262de193bb40868218707d6e4101e0,

title = "Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO2gas cooler",

abstract = "Particle Swarm Optimization and Genetic Algorithm are bionic optimization algorithms. This paper takes CO2 louvered micro-channel gas cooler as an example and achieves multi-objective optimization with the objective function of maximum heat exchange and minimum cost. The optimization results show that the optimized results by both Particle Swarm Optimization and Genetic Algorithm are better than before optimization, and the optimization speed of Particle Swarm Optimization is faster.",

keywords = "COheat pump air conditioner, Genetic Algorithm, Particle Swarm Optimization, gas cooler",

author = "Jingyang Cai and Yichun Wang and Fen Guo and Hongzeng Ji and Xiaoyu Huang and Xiuhui Duan",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022 ; Conference date: 09-12-2022 Through 11-12-2022",

year = "2022",

doi = "10.1109/IAECST57965.2022.10062230",

language = "English",

series = "2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022",

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Cai, J, Wang, Y, Guo, F, Ji, H, Huang, X & Duan, X 2022, Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler. in 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1565-1572, 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022, Virtual, Online, China, 9/12/22. https://doi.org/10.1109/IAECST57965.2022.10062230

Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler. / Cai, Jingyang; Wang, Yichun; Guo, Fen et al.
2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1565-1572 (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Huang, Xiaoyu

AU - Duan, Xiuhui

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AB - Particle Swarm Optimization and Genetic Algorithm are bionic optimization algorithms. This paper takes CO2 louvered micro-channel gas cooler as an example and achieves multi-objective optimization with the objective function of maximum heat exchange and minimum cost. The optimization results show that the optimized results by both Particle Swarm Optimization and Genetic Algorithm are better than before optimization, and the optimization speed of Particle Swarm Optimization is faster.

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Cai J, Wang Y, Guo F, Ji H, Huang X, Duan X. Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO₂gas cooler. In 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1565-1572. (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022). doi: 10.1109/IAECST57965.2022.10062230