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

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言	英语
主期刊名	2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1565-1572
页数	8
ISBN（电子版）	9798350320008
DOI	https://doi.org/10.1109/IAECST57965.2022.10062230
出版状态	已出版 - 2022
活动	4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022 - Virtual, Online, 中国期限: 9 12月 2022 → 11 12月 2022

出版系列

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

会议

会议	4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022
国家/地区	中国
市	Virtual, Online
时期	9/12/22 → 11/12/22

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/IAECST57965.2022.10062230

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022 (页码 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 等. / 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. 页码 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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1565--1572",

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

address = "United States",

}

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. 在 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., 页码 1565-1572, 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022, Virtual, Online, 中国, 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 等.
2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 页码 1565-1572 (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Application of Particle Swarm Optimization and Genetic Algorithm to the optimal design of CO2gas cooler

AU - Cai, Jingyang

AU - Wang, Yichun

AU - Guo, Fen

AU - Ji, Hongzeng

AU - Huang, Xiaoyu

AU - Duan, Xiuhui

PY - 2022

Y1 - 2022

N2 - 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.

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.

KW - COheat pump air conditioner

KW - Genetic Algorithm

KW - Particle Swarm Optimization

KW - gas cooler

UR - https://www.scopus.com/pages/publications/85150851005

U2 - 10.1109/IAECST57965.2022.10062230

DO - 10.1109/IAECST57965.2022.10062230

M3 - Conference contribution

AN - SCOPUS:85150851005

T3 - 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022

SP - 1565

EP - 1572

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022

Y2 - 9 December 2022 through 11 December 2022

ER -

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. 在 2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022. Institute of Electrical and Electronics Engineers Inc. 2022. 页码 1565-1572. (2022 4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022). doi: 10.1109/IAECST57965.2022.10062230