Group Decision-Making Inspired Particle Swarm Optimization in Noisy Environment

@article{Ma2015GroupDI,
  title={Group Decision-Making Inspired Particle Swarm Optimization in Noisy Environment},
  author={Ji Ma and Junqi Zhang and Mengchu Zhou},
  journal={2015 IEEE International Conference on Systems, Man, and Cybernetics},
  year={2015},
  pages={316-321}
}
Particle Swarm Optimizer (PSO) has gained wide applications in different fields. However, it loses its efficiency when facing an optimization problem in a noisy environment, since the inaccuracy of each particle's own "best" might mislead the entire swarm. Staying together is often of great selective advantage for social animals in nature. Social animals frequently make consensus decisions, and the decisions made by a majority of informed group members should be beneficial as they intend to… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Particle swarm optimization

  • J. Kennedy, R. Eberhart
  • Proceedings of IEEE international conference on…
  • 1995
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…