A general-purpose kernel based on genetic algorithms for optimization of complex analog circuits

This paper presents general-purpose kernel based genetic algorithms for optimizing complex analog circuits and systems. The developed tool is very flexible allowing optimizations at different levels of abstraction. The optimization of any new block is basically carried-out by simply providing two additional files to the kernel. A text file containing the information of the genes (variables) of the chromosome and, on the other hand, a dynamic link library (DLL) type file, which is obtained by compiling a C++ code-source file comprising the overall fitness function. Optimization examples of two low-voltage circuits clearly assess the attractiveness of this tool.