Subpopulation best rotation: a modification on PSO

Authors

  • Jorge Barrera-Alviar Universidad de los Andes
  • Jorge Peña Université de Lausanne
  • Roberto Hincapié Universidad Pontificia Bolivariana

Keywords:

Particle Swarm Optimization, evolutionary computation, test functions, neighborhood topology

Abstract


This paper deals with a modification on Particle Swarm Optimization (PSO), an original topology whose use can be justified to optimize multimodal functions. The analysis is further verified by some proofs, using different benchmark functions with asymmetric initialization. The method is optimistic and may be a starting point for further discussions.

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Author Biographies

Jorge Barrera-Alviar, Universidad de los Andes

Facultad de Ingeniería

Jorge Peña, Université de Lausanne

Faculté des sciences sociales et politiques (SSP), Institut de Mathématiques Appliquées (IMA)

Roberto Hincapié, Universidad Pontificia Bolivariana

Grupo de Investigación, Desarrollo y Aplicación en Telecomunicaciones e Informática (GIDATI).

References

J. Kennedy, R. Eberhart, R. Swarm. Intelligence. San Francisco: Morgan Kaufman Publishers. 2001. pp. 287-360.

X. Xie, W. Zhang, Z. Yang. “Hybird Particle Swarm Optimizer with Mass Extinction”. In: International Conference on Communications, Circuits and Systems (ICCCAS). Chengdu, China. Vol. 2. 2002. pp 1170-1173.

A. Carlisle, G. Dozier. “An off-the-Shelf PSO”. In: Proceedings of the workshop on particle swarm optimization. Indianapolis. Vol. 1. 2001. pp 1-6.

X. Xie, W. Zhang, Z. Yang. “Adaptive Particle Swarm Optimization on Individual Level”. En: International Conference on Signal Processing. Beijing, China. Vol. 4. 2002. pp. 1215-1218.

Published

2014-07-31

How to Cite

Barrera-Alviar, J., Peña, J., & Hincapié, R. . (2014). Subpopulation best rotation: a modification on PSO. Revista Facultad De Ingeniería Universidad De Antioquia, (40), 118–122. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/20153
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