A study of particle swarm optimization particle trajectories

  title={A study of particle swarm optimization particle trajectories},
  author={Frans van den Bergh and Andries Petrus Engelbrecht},
  journal={Inf. Sci.},
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analyses that concentrate on understanding particle trajectories. These theoretical studies concentrate mainly on simplified PSO systems. This paper overviews current theoretical studies, and extend these studies to investigate particle trajectories for general swarms to include the influence of the inertia term. The paper… CONTINUE READING
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Analysis of a simple particle swarm optimization system

  • E. Ozcan, C. K. Mohan
  • in: Intelligent Engineering Systems through…
  • 1998
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6 Excerpts

On the convergence analysis and parameter selection in particle swarm optimization

  • Y. Zheng, L. Ma, L. Zhang, J. Qian
  • in: Proceedings of the International Conference…
  • 2003
1 Excerpt

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