Optimal components selection for active filter design with average differential evolution algorithm |
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Affiliation: | 1. Literature and Information Center, Zhejiang Wanli University, Ningbo 315100, China;2. College of Electronics and Computer Science, Zhejiang Wanli University, Ningbo 315100, China;1. Department of Computer Engineering, The University of Jordan, Amman 11942, Jordan;2. Department of Telecommunications Engineering, Yarmouk University, Irbid 21163, Jordan;3. Department of Communications Engineering, Al-Hussein Bin Talal University, Ma''an 20, Jordan |
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Abstract: | Component selection in electronic circuit design is an important issue to achieve a targeted performance and quality level. Particularly in filter circuits, changes in gain and phase response of the circuit are directly dependent on the component values of the filter. Therefore, the selection of component values must be done carefully. In this article, a differential evolution (DE) algorithm with a new mutation strategy, named as average DE (ADE), is introduced for analog active filter design. The ADE algorithm minimizes the total design error of the state variable filter (SVF) for the optimal selection of component values. Simulation results indicate that the proposed algorithm reduces the design error when compared to other methods. |
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Keywords: | Analog active filter Circuit optimization Component selection Differential evolution algorithm |
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