{"title":"MO-TRIBES在模拟电子电路设计中的应用","authors":"Y. Cooren, P. Siarry, M. Fakhfakh","doi":"10.1109/ICECS.2009.5410986","DOIUrl":null,"url":null,"abstract":"This paper deals with using MO-TRIBES, an adaptive multiobjective Particle Swarm Optimization algorithm, for optimally sizing CMOS positive second generation Current Conveyors. Pareto front is generated while minimizing parasitic X-port input resistance RX and maximizing current high cut-off frequency fchi. Results obtained using MO-TRIBES are provided and compared to those obtained using the classical MOPSO algorithm. SPICE simulation results are presented to validate obtained sizing.","PeriodicalId":343974,"journal":{"name":"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)","volume":"54 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of MO-TRIBES to the design of analog electronic circuits\",\"authors\":\"Y. Cooren, P. Siarry, M. Fakhfakh\",\"doi\":\"10.1109/ICECS.2009.5410986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with using MO-TRIBES, an adaptive multiobjective Particle Swarm Optimization algorithm, for optimally sizing CMOS positive second generation Current Conveyors. Pareto front is generated while minimizing parasitic X-port input resistance RX and maximizing current high cut-off frequency fchi. Results obtained using MO-TRIBES are provided and compared to those obtained using the classical MOPSO algorithm. SPICE simulation results are presented to validate obtained sizing.\",\"PeriodicalId\":343974,\"journal\":{\"name\":\"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)\",\"volume\":\"54 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2009.5410986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2009.5410986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of MO-TRIBES to the design of analog electronic circuits
This paper deals with using MO-TRIBES, an adaptive multiobjective Particle Swarm Optimization algorithm, for optimally sizing CMOS positive second generation Current Conveyors. Pareto front is generated while minimizing parasitic X-port input resistance RX and maximizing current high cut-off frequency fchi. Results obtained using MO-TRIBES are provided and compared to those obtained using the classical MOPSO algorithm. SPICE simulation results are presented to validate obtained sizing.