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={B. P. De and R. Kar and D. Mandal and S. Ghoshal}, journal={International Journal of Machine Learning and Cybernetics}, year={2015}, volume={6}, pages={621-636} }
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… Expand
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