A robustness study of metaheuristics to the optimal design of RF integrated inductors

H. Marouani, A. Sallem, M. Chaoui, P. Pereira, N. Masmoudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, three metaheuristics are investigated to optimize RF Integrated Inductors; namely Differential Evolution (DE) from the field of evolutionary computation, Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions and Particle Swarm Optimization (PSO) inspired by swarm behaviors in nature. A particular interest is given to the optimization of RF Integrated Inductors. Performances in terms of optimum quality and computing time of the metaheuristics are checked via three test functions and one application that consist of optimizing performances of characterize integrated inductors based on the double $\pi$-model.

Original languageEnglish
Title of host publication2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1459-1464
Number of pages6
ISBN (Electronic)9781538653050
DOIs
Publication statusPublished - 7 Dec 2018
Event15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 - Yassmine, Hammamet, Tunisia
Duration: 19 Mar 201822 Mar 2018

Conference

Conference15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
CountryTunisia
CityYassmine, Hammamet
Period19/03/1822/03/18

Keywords

  • Differential Evolution
  • Gravitational Search Algoritm
  • Metaheuristics
  • Particle Swarm Optimization
  • RF Integrated Inductors

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