Comparison of self-adaptive particle swarm optimizers

@article{Zyl2014ComparisonOS,
  title={Comparison of self-adaptive particle swarm optimizers},
  author={E. T. van Zyl and Andries Petrus Engelbrecht},
  journal={2014 IEEE Symposium on Swarm Intelligence},
  year={2014},
  pages={1-9}
}
Particle swarm optimization (PSO) algorithms have a number of parameters to which their behaviour is sensitive. In order to avoid problem-specific parameter tuning, a number of self-adaptive PSO algorithms have been proposed over the past few years. This paper compares the behaviour and performance of a selection of self-adaptive PSO algorithms to that of time-variant algorithms on a suite of 22 boundary constrained benchmark functions of varying complexities. It was found that only two of the… CONTINUE READING

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