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… Expand
An Investigation on Particle Trajectories of PSO
  • Hui Zhao, Beixing Mao
  • Mathematics
  • 2009 International Conference on Information Engineering and Computer Science
  • 2009
Particle swarm optimization (PSO) is an effective robust and simple method to solve many problems proposed in science and engineering. How does the particle motion and how the particles in a swarmExpand
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  • Yuhui Shi, R. Eberhart
  • Mathematics
  • Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)
  • 1999
We empirically study the performance of the particle swarm optimizer (PSO). Four different benchmark functions with asymmetric initial range settings are selected as testing functions. TheExpand
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  • Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)
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The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory and graphical parameter selection guidelines are derived, resulting in results superior to previously published results. Expand