Evolution of analog networks using local string alignment on highly reorganizable genomes

We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the terminals and parameters of components, and the use of local string alignment to generate the connection between components. The representation produces a variable genome length structure that tolerates the execution of major genome reorganization operators such as duplication and transposition, along with less disruptive ones such as character insertion, deletion and substitution. The representation can be applied also to other analog networks such as artificial neural networks, control systems, and genetic regulatory networks.