<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">H. Marouani</style></author><author><style face="normal" font="default" size="100%">Sallem, A.</style></author><author><style face="normal" font="default" size="100%">M. Chaoui</style></author><author><style face="normal" font="default" size="100%">P Pereira</style></author><author><style face="normal" font="default" size="100%">N. Masmoudi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Robustness Study of Metaheuristics to the Optimal Design of RF Integrated Inductors</style></title><secondary-title><style face="normal" font="default" size="100%">2018 15th International Multi-Conference on Systems, Signals Devices (SSD)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Convergence</style></keyword><keyword><style  face="normal" font="default" size="100%">Differential Evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">Gravitational Search Algoritm</style></keyword><keyword><style  face="normal" font="default" size="100%">inductors</style></keyword><keyword><style  face="normal" font="default" size="100%">Mathematical model</style></keyword><keyword><style  face="normal" font="default" size="100%">Metaheuristics</style></keyword><keyword><style  face="normal" font="default" size="100%">optimization</style></keyword><keyword><style  face="normal" font="default" size="100%">Particle swarm optimization</style></keyword><keyword><style  face="normal" font="default" size="100%">Radio frequency</style></keyword><keyword><style  face="normal" font="default" size="100%">RF integrated inductors</style></keyword><keyword><style  face="normal" font="default" size="100%">robustness</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">March</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1109/SSD.2018.8570384</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">1459-1464</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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$π$-model.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;
DOI: 10.1109/SSD.2018.8570384&lt;/p&gt;
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