A new optimizer using particle swarm theory

@article{Eberhart1995ANO,
  title={A new optimizer using particle swarm theory},
  author={R. Eberhart and J. Kennedy},
  journal={MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science},
  year={1995},
  pages={39-43}
}
  • R. Eberhart, J. Kennedy
  • Published 1995
  • Computer Science
  • MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science
The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, including neural network training and robot task learning, are proposed. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed. 
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