id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-29350	Shui , Peilin; Zhang, Zeyu; Xie, Caixing; Zhao, Jiaying; Lu, Zilun	Optimization of Environmental Conditioning Equipment Based on Particle Swarm Optimization Algorithm and Genetic Algorithm	2025	4	.pdf	application/pdf	2768	150	43	Factor Analysis In this section, we study the optimization of various aspects of air conditioner design and the effect of placement of air conditioner on temperature regulation and construct the best optimization model of air conditioner shape to achieve the best temperature regulation. Firstly, the particle swarm optimization algorithm (PSO) is applied to simulate the indoor temperature change for the placement of air conditioners, the location of the inlet and outlet, and the direction of airflow to design the optimal shapes and sizes to improve the temperature control efficiency.	cache/fcis-29350.pdf	txt/fcis-29350.txt