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Swarm Intelligence Algorithm for Microwave Filter Optimization

Abstract : In this paper, three recent swarm intelligence algorithms (spider monkey optimization (SMO), social spider optimization (SSO) and teaching learning based optimization (TLBO)) are proposed to the optimization of microwave filter (H-plane three-cavity filter). The results of convergence and optimization use of these algorithms are compared with the results of the most popular swarm intelligences algorithm, namely particle swarm optimization (PSO) for different common parameters (population size and maximum number of iteration). The results showed validation of the proposed algorithms.
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Submitted on : Wednesday, November 7, 2018 - 9:41:06 AM
Last modification on : Wednesday, February 23, 2022 - 9:14:03 AM
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Erredir Chahrazad, Emir Bouarroudj, Mohamed Lahdi Riabi. Swarm Intelligence Algorithm for Microwave Filter Optimization. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.161-172, ⟨10.1007/978-3-319-89743-1_15⟩. ⟨hal-01913898⟩



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