Associations between population topologies and Gaussian dynamic particle swarm performance
by Yang Chen; Yancheng Liu; Chuan Wang; Rui Ma
International Journal of Modelling, Identification and Control (IJMIC), Vol. 24, No. 2, 2015

Abstract: Population topology can control the spread of the flow of information, and directly affect the final performance of Gaussian dynamic particle swarm optimisation (GDPSO) algorithm. The effects of various population topologies on the GDPSO were systematically investigated in this paper. Random graphs and special graphs were both generated to specifications, and their performances on several criteria were compared. The numerical experiment results show that the average degree of the population topology affects the accuracy and success rate; for a specified problem, there should be a trade-off between accuracy and success rate by choosing an appropriate population topology.

Online publication date: Tue, 22-Sep-2015

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