Analog integrated circuits design is a complex task due to the large number of input variables to be determined simultaneously in order to comply with innumerable design features of an analog integrated circuit design. This work describes and implements an evolvable system based on Genetic Algorithms (GA) which was computationally integrated to the simulation program SPICE and has the capability to search for solutions that best comply with the designer specified objectives. The simultaneous evaluation of the input variables allows the proposed system (AGSPICE) to track the changes of these variables along the optimization process and its understanding in a clearer way. Our experimental results with the AGSPICE applied to an Operational Transconductance Amplifier (OTA) CMOS design are compared to the results obtained manually and present compatible solutions to other works available in the related literature.
Evolutionary system; integrated circuit project; Genetic Algorithms; CMOS Operational Transconductance Amplifier
