@inproceedings{edb8febf076c4f059f5ec456f16a1d60,
title = "A novel hybrid particle swarm optimizer: Tradeoff between exploration and exploitation",
abstract = "Hybridization is a useful method to enhance the performance of particle swarm optimizer (PSO). In this paper, a novel particle swarm optimizer (NHPSO) combining PSO with a constriction factor (CF-PSO) and the fully informed particle swarm optimizer (FIPSO) in cycles is proposed, in order to balance the convergence speed and search accuracy. Six most commonly used benchmarks are used to evaluate the strategy on the performance of PSOs. The results suggest NHPSO has a generally good performance in numerical optimization.",
author = "Jianbin Xin and Yanbin Zhang and Lixin Jia and Guimin Chen",
year = "2009",
doi = "10.1109/ICINIS.2009.123",
language = "英语",
isbn = "9780769538525",
series = "ICINIS 2009 - Proceedings of the 2nd International Conference on Intelligent Networks and Intelligent Systems",
pages = "457--460",
booktitle = "ICINIS 2009 - Proceedings of the 2nd International Conference on Intelligent Networks and Intelligent Systems",
note = "2nd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2009 ; Conference date: 01-11-2009 Through 03-11-2009",
}