A modified particle swarm optimizer with dynamic adaptation

  title={A modified particle swarm optimizer with dynamic adaptation},
  author={Xueming Yang and Jinsha Yuan and Jiangye Yuan and Huina Mao},
  journal={Applied Mathematics and Computation},
This paper proposes a modified particle swarm optimization algorithm with dynamic adaptation. In this algorithm, a modified velocity updating formula of the particle is used, where the randomness in the course of updating particle velocity is relatively decreased and the inertia weight of each particle is different. Moreover, this algorithm introduces two parameter describing the evolving state of the algorithm, the evolution speed factor and aggregation degree factor. By analyzing the… CONTINUE READING
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