A Novel Particle Swarm Optimization Method Using Clonal Selection Algorithm

  title={A Novel Particle Swarm Optimization Method Using Clonal Selection Algorithm},
  author={Lu Hong},
  journal={2009 International Conference on Measuring Technology and Mechatronics Automation},
  • Lu Hong
  • Published 2009 in
    2009 International Conference on Measuring…
Particle Swarm Optimization, a nature-inspired evolutionary algorithm, has been successful in solving a wide range of real-value optimization problems. However, little attempts have been made to extend it to discrete problems. In this paper, a new particle swarm optimization method based on the clonal selection algorithm is proposed to avoid premature convergence and guarantee the diversity of the population. The experimental results show that the new algorithm not only has great advantage of… CONTINUE READING
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Publications referenced by this paper.
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Tracking and optimizing dynamic systems with particle swarms

  • R. C. Eberhart, Y. Shi
  • Proceedings of the 2001 Congress on Evolutionary…
  • 2001
1 Excerpt

Stereotyping: improving particle swarm performance with cluster analysis

  • J. Kennedy
  • In: Proceedings of the IEEE International…
  • 2000
1 Excerpt

Particle Swarm Optimization

  • J. Kennedy, R. Eberhurt
  • Proc. IEEE International Conf. on Neural Networks…
  • 1997
1 Excerpt

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