Abdelaziz Lberni, A. Ahaitouf, Malika Alami Marktani, A. Ahaitouf
{"title":"基于进化算法的第二代电流输送机尺寸确定","authors":"Abdelaziz Lberni, A. Ahaitouf, Malika Alami Marktani, A. Ahaitouf","doi":"10.1109/ISACS48493.2019.9068896","DOIUrl":null,"url":null,"abstract":"Evolutionary algorithms have been shown to be well adapted to solve multi-objective optimization problems. In this paper, two of them, will be applied to optimize the classical circuit of second generation current conveyor(CCII+). The optimization is performed in the framework of 0.181μm technology, and results are integrated in Cadence Virtuoso simulation tool to show the validity of the obtained results. Final design characteristics obtained by the two technics are in agreement and are better than the previously reported results in literature.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Sizing of second generation current conveyor using evolutionary algorithms\",\"authors\":\"Abdelaziz Lberni, A. Ahaitouf, Malika Alami Marktani, A. Ahaitouf\",\"doi\":\"10.1109/ISACS48493.2019.9068896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evolutionary algorithms have been shown to be well adapted to solve multi-objective optimization problems. In this paper, two of them, will be applied to optimize the classical circuit of second generation current conveyor(CCII+). The optimization is performed in the framework of 0.181μm technology, and results are integrated in Cadence Virtuoso simulation tool to show the validity of the obtained results. Final design characteristics obtained by the two technics are in agreement and are better than the previously reported results in literature.\",\"PeriodicalId\":312521,\"journal\":{\"name\":\"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISACS48493.2019.9068896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISACS48493.2019.9068896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sizing of second generation current conveyor using evolutionary algorithms
Evolutionary algorithms have been shown to be well adapted to solve multi-objective optimization problems. In this paper, two of them, will be applied to optimize the classical circuit of second generation current conveyor(CCII+). The optimization is performed in the framework of 0.181μm technology, and results are integrated in Cadence Virtuoso simulation tool to show the validity of the obtained results. Final design characteristics obtained by the two technics are in agreement and are better than the previously reported results in literature.