Brain Storm Optimization Model Based on Uncertainty Information

  title={Brain Storm Optimization Model Based on Uncertainty Information},
  author={Junfeng Chen and Yingjuan Xie and Jianjun Ni},
  journal={2014 Tenth International Conference on Computational Intelligence and Security},
Brain storm optimization is a new swarm intelligence, which mimics the human brainstorming process. In this paper, a modified brain storm optimization is proposed based on uncertainty information. It adopts affinity propagation clustering instead of k-means clustering. Meanwhile, a creating operator combining the information of multiple clusters is introduced by borrowing the idea of cloud drops algorithm. The proposed brain storm optimization is characterized by mining and utilizing the… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 16 references

and J

  • Z. H. Zhan, W. N. Chen, Y. Lin, Y. J. Gong, Y. L. Li
  • Zhang, “Parameter investigation in brain storm…
  • 2013
1 Excerpt

and H

  • Z. H. Zhan, J. Zhang, Y. H. Shi
  • L. Liu, “A modified brain storm optimization,” in…
  • 2012
1 Excerpt

and S

  • D. D. Zhou, Y. H. Shi
  • Cheng, “Brain storm optimization algorithm with…
  • 2012

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