期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：64
期号：2
出版社：Journal of Theoretical and Applied
摘要：In this paper we propose a comparison between two population-based metaheuristic techniques, the Genetic Algorithm (GA) and the Ant Colony Optimization (ACO), to make easier the sizing of analog circuits with optimal objective functions. The paper details the corresponding algorithms and highlights the optimal design of a positive second generation current conveyor (CCII+) and an active filter circuit. The computing time and robustness of both algorithms are checked. SPICE simulation is used to validate the obtained sizing/performances.
关键词：Metaheuristic; Ant Colony Optimization; Genetic Algorithm; Current Conveyors; Second Order Low-pass Filter.
