{"title":"Low-Power Low-Voltage Analog Circuit Design Using Hierarchical Particle Swarm Optimization","authors":"R. Thakker, M. Baghini, M. Patil","doi":"10.1109/VLSI.Design.2009.14","DOIUrl":null,"url":null,"abstract":"This paper presents application and effectiveness of Hierarchical particle swarm optimization (HPSO) algorithm for automatic sizing of low-power analog circuits. For the purpose of comparison, circuits are also designed using PSO and Genetic Algorithm (GA). CMOS technologies from 0.35 µm down to 0.13 µm are used. PVT (process, voltage, temperature) variations are considered during the design of circuits. We show that HPSO algorithm converges to a better solution, compared to PSO and GA. For CMOS Miller OTA, even performance of the circuit designed by HPSO algorithm is better than the performance of recently reported manually designed circuit. For the first time, design of this OTA, in 0.4 V supply voltage, is also presented. For this new design, HPSO algorithm has taken 23.5 minutes of CPU time on a Sun system with1.2 GHz processor and 8 GB RAM.","PeriodicalId":267121,"journal":{"name":"2009 22nd International Conference on VLSI Design","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 22nd International Conference on VLSI Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSI.Design.2009.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51
Abstract
This paper presents application and effectiveness of Hierarchical particle swarm optimization (HPSO) algorithm for automatic sizing of low-power analog circuits. For the purpose of comparison, circuits are also designed using PSO and Genetic Algorithm (GA). CMOS technologies from 0.35 µm down to 0.13 µm are used. PVT (process, voltage, temperature) variations are considered during the design of circuits. We show that HPSO algorithm converges to a better solution, compared to PSO and GA. For CMOS Miller OTA, even performance of the circuit designed by HPSO algorithm is better than the performance of recently reported manually designed circuit. For the first time, design of this OTA, in 0.4 V supply voltage, is also presented. For this new design, HPSO algorithm has taken 23.5 minutes of CPU time on a Sun system with1.2 GHz processor and 8 GB RAM.