{"title":"Performance Comparison of Nature-Inspired Metaheuristics in the Optimal Sizing of Analog Circuits","authors":"Mauna Kotti, M. Fakhfakh, B. Benhala, H. Hachimi","doi":"10.1109/DTSS.2019.8915326","DOIUrl":null,"url":null,"abstract":"This paper presents a performance comparison between nature-inspired metaheuristics, namely, Particle Swarm Optimization, Invasive Weed Optimization and Firefly Algorithm. Application to analog circuit sizing is considered. Input parasitic impedance and the current transfert bandwidth of a CMOS second generation current conveyor (CCII) are optimized. Viability of the reached performances is cheched via Hspice Simulations. Robustness measure is performed to further highlight performances of the considered metaheuristics.","PeriodicalId":342516,"journal":{"name":"2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTSS.2019.8915326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a performance comparison between nature-inspired metaheuristics, namely, Particle Swarm Optimization, Invasive Weed Optimization and Firefly Algorithm. Application to analog circuit sizing is considered. Input parasitic impedance and the current transfert bandwidth of a CMOS second generation current conveyor (CCII) are optimized. Viability of the reached performances is cheched via Hspice Simulations. Robustness measure is performed to further highlight performances of the considered metaheuristics.
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