id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-266487-ah3jclgw	Feng, Qilin	Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation	2019-08-01		.txt	text/plain	7582	317	45	This paper presents a comprehensive particle swarm optimization (CPSO) method to locate a contaminant source in dynamic indoor environments with mechanical ventilation and develops a multi-robot source localization system to experimentally validate the method. In this study, considering the complexity of airflow and concentration distributions in dynamic indoor environments, we present a comprehensive particle swarm optimization (CPSO) method that integrates the IPSO algorithm with a source confirming algorithm and a strategy for escaping from local extremum areas to improve the success rate and efficiency of source localization. (2) A multi-robot source localization system was developed, and three robots were used to validate the presented method at two typical source locations (DS, in the downwind zone, and RS, in the recirculation zone) in a dynamic indoor environment with the air supply louvers of a cabinet air conditioner periodically swinging from left to right.	./cache/cord-266487-ah3jclgw.txt	./txt/cord-266487-ah3jclgw.txt