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Published in:
2021 | OriginalPaper | Chapter
Application of HPSGWO to the Optimal Sizing of Analog Active Filter
Authors : Abdelaziz Lberni, Malika Alami Marktani, Abdelaziz Ahaitouf, Ali Ahaitouf
Published in: Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems
Publisher: Springer Singapore
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Abstract
This paper discusses the optimal design and optimization of an analog active filter using the hybrid HPSGWO optimization algorithm, which is a combination of Particle Swarm Optimization Algorithm (PSO), and Grey Wolf Optimizer (GWO) algorithms. The PSO is a stochastic research method based on population, however, GWO is a recently introduced meta-heuristic search method inspired by Canis-lupus. The values of the active filter components are selected from various standard industrial series (E series). Obtained results are compared with those obtained by PSO and GWO, as well as with other optimization methods, namely ACO, CRPSO and SOS. The Virtuoso Cadence tool was used to validate the optimization results obtained by the proposed approach. Moreover, it has been shown that this approach gives very robust results compared to the cited methods.