@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",
}
