@inproceedings{c4539b2894f342d18530cedf68d3b79b,
title = "Small world network based dynamic topology for particle swarm optimization",
abstract = "A new particle optimization algorithm with dynamic topology is proposed based on 'small world' network. The technique imitates the dissemination of information in a 'small world network' by dynamically updating the neighborhood topology of particle swarm optimization. The proposed dynamic neighborhood strategy can effectively coordinate the exploration and exploitation ability of particle swarm optimization. Simulations demonstrated that convergence of the swarms is guaranteed. Experiments demonstrated that the proposed method maintained the population diversity and enhanced the global search ability.",
keywords = "Local model, global model, neighborhood topology, particle swarm, small world network",
author = "Qingxue Liu and {Van Wyk}, {Barend Jacobus} and Yanxia Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Natural Computation, ICNC 2015 ; Conference date: 15-08-2015 Through 17-08-2015",
year = "2016",
month = jan,
day = "8",
doi = "10.1109/ICNC.2015.7378005",
language = "English",
series = "Proceedings - International Conference on Natural Computation",
publisher = "IEEE Computer Society",
pages = "289--294",
editor = "Zheng Xiao and Zhao Tong and Kenli Li and Xingwei Wang and Keqin Li",
booktitle = "2015 11th International Conference on Natural Computation, ICNC 2015",
address = "United States",
}