%0 Journal Article %1 Wang:2007:AMC %A Wang, Feng %A Li, Yuanxiang %A Li, Li %A Li, Kangshun %D 2007 %J Applied Mathematics and Computation %K Analogue Electrical Evolutionary Evolvable algorithms, circuit circuits computation, design, genetic hardware, programming, %N 2 %P 1087--1097 %R doi:10.1016/j.amc.2006.07.029 %T Automated analog circuit design using two-layer genetic programming %V 185 %X 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.

@article{Wang:2007:AMC, abstract = {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.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Wang, Feng and Li, Yuanxiang and Li, Li and Li, Kangshun}, biburl = {https://www.bibsonomy.org/bibtex/2903737a52e58b4d69f9970e924f3fa50/brazovayeye}, doi = {doi:10.1016/j.amc.2006.07.029}, interhash = {236661b5adfe67835d76b9d9c924f68f}, intrahash = {903737a52e58b4d69f9970e924f3fa50}, journal = {Applied Mathematics and Computation}, keywords = {Analogue Electrical Evolutionary Evolvable algorithms, circuit circuits computation, design, genetic hardware, programming,}, month = {15 February}, note = {Special Issue on Intelligent Computing Theory and Methodology}, notes = {a School of Computer Science, Wuhan University, Wuhan 430072, PR China b State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, PR China c International Software School, Wuhan University, Wuhan 430072, PR China d School of Information Engineering, Jiangxi University of Science and Technology, Jiangxi 341000, PR China}, number = 2, pages = {1087--1097}, timestamp = {2008-06-19T17:53:50.000+0200}, title = {Automated analog circuit design using two-layer genetic programming}, volume = 185, year = 2007 }