Title: Small world network based dynamic topology for particle swarm optimization
Creator: Liu, Qingxue, Van Wyk, Barend Jacobus, Sun, Yanxia
Subject: Particle swarm, Small world network, Neighborhood topology, Global model, Local model
Date: 2015
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/22381
Identifier: uj:16196
Identifier: Citation: Liu, Q, Van Wyk, B.J. & Sun, Y. 2015. Small world network based dynamic topology for particle swarm optimization. 11th International Conference on Natural Computation (ICNC 2015). p. 289-294. ISBN: 978-1-4673-7678-5. DOI: 10.1109/ICNC.2015.7378005
Description: 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.
Publisher: IEEE
Language: English
Rights: ©2015, the authors
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Small world network based dynamic topology for particle swarm optimization