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Automated analog circuit design using two-layer genetic programming

机译：使用两层遗传编程的自动模拟电路设计

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Analog circuits are very important in many high-speed applications such as communications. Since the size of analog circuit is becoming larger and more complex, the design is becoming more and more difficult. This paper proposes a two-layer evolutionary scheme based on genetic programming (GP), which uses a divide-and-conquer approach to evolve the analog circuits. Corresponding to the two-layer GP, a new representation of circuit has been proposed here and it is more helpful to generate expectant circuit graphs. This algorithm can evolve the circuits with dynamical size, circuit topology, and component values. The experimental results on the designs of the voltage amplifier and the low-pass filter show that this algorithm is efficient. (c) 2006 Elsevier Inc. All rights reserved.
机译：模拟电路在许多高​​速应用（例如通信）中非常重要。由于模拟电路的尺寸越来越大且越来越复杂，因此设计变得越来越困难。本文提出了一种基于遗传规划（GP）的两层进化方案，该方案采用分治法来发展模拟电路。对应于两层GP，此处提出了一种新的电路表示形式，它对于生成预期的电路图更有帮助。该算法可以使电路具有动态尺寸，电路拓扑和组件值。在电压放大器和低通滤波器的设计上的实验结果表明该算法是有效的。 （c）2006 Elsevier Inc.保留所有权利。

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