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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.
https://hal.inria.fr/hal-01913898
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 7, 2018 - 9:41:06 AM
Last modification on : Thursday, November 8, 2018 - 1:27:59 PM
Long-term archiving on: : Friday, February 8, 2019 - 1:27:44 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 7, 2018 - 9:41:06 AM
Last modification on : Thursday, November 8, 2018 - 1:27:59 PM
Long-term archiving on: : Friday, February 8, 2019 - 1:27:44 PM
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467079_1_En_15_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License