id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
asir-31708	Wang, H. D.; Zhang, C. N.; Zhang, H.; Wei, Y. C.; Guan, X. L.	A Quantum Particle Swarm Optimization Algorithm Based on Aggregation Perturbation	2023	13	.pdf	application/pdf	4537	204	53	The main idea of particle swarm optimization algorithm based on chaotic mechanism is as follows: on the one hand, using chaotic sequences to initialize the position and velocity of particles, due to its ergodic characteristics, it not only maintains the diversity of particles but also enhances their search ability; Furthermore, chaotic states can make the motion of particles persistent. Therefore, a concept of particle aggregation perturbation is proposed in the article to regulate the phenomenon of local particles being too clustered.	cache/asir-31708.pdf	txt/asir-31708.txt