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2018 | OriginalPaper | Chapter

Swarm Intelligence Algorithm for Microwave Filter Optimization

Authors : Erredir Chahrazad, Emir Bouarroudj, Mohamed Lahdi Riabi

Published in: Computational Intelligence and Its Applications

Publisher: Springer International Publishing

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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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Title: Swarm Intelligence Algorithm for Microwave Filter Optimization
Authors: Erredir Chahrazad
Emir Bouarroudj
Mohamed Lahdi Riabi
Publisher: Springer International Publishing
Book: Computational Intelligence and Its Applications
Print ISBN: 978-3-319-89742-4

Electronic ISBN: 978-3-319-89743-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-89743-1_15

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