Optimal selection of components value for analog active filter design using simplex particle swarm optimization

@article{De2015OptimalSO,
  title={Optimal selection of components value for analog active filter design using simplex particle swarm optimization},
  author={Bishnu Prasad De and Rajib Kar and Durbadal Mandal and Sakti Prasad Ghoshal},
  journal={International Journal of Machine Learning and Cybernetics},
  year={2015},
  volume={6},
  pages={621-636}
}
  • B. P. De, R. Kar, S. Ghoshal
  • Published 1 August 2015
  • Computer Science
  • International Journal of Machine Learning and Cybernetics
The simplex particle swarm optimization (Simplex-PSO) is a swarm intelligent based evolutionary computation method. Simplex-PSO is the hybridization of Nedler–Mead simplex method and particle swarm optimization (PSO) without the velocity term. The Simplex-PSO has fast optimizing capability and high computational precision for high-dimensionality functions. In this paper, Simplex-PSO is employed for selection of optimal discrete component values such as resistors and capacitors for fourth order… 
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28 Citations
Background Citations
6
Methods Citations
5

28 Citations

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