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Automated analog circuit design using two-layer genetic programming
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DOI：10.1016/j.amc.2006.07.029.png)
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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.
Keyword:
evolutionary computation
evolvable hardware
genetic programming
analog circuit design
electrical circuits
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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