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There is a growing body of work considering the use of representations basedupon genetic regulatory networks. This paper uses a recently presentedabstract, tunable Boolean regulatory network model to explore aspects of mobileDNA, such as transposons, within these dynamical systems. The significant roleof mobile DNA in the evolution of natural systems is becoming increasinglyclear. Whilst operators loosely based upon transposons have previously beenused within evolutionary computation, their use within regulatory networkrepresentations enables the potential exploitation of numerous new mechanisms.This paper shows how dynamically controlling network node connectivity andfunction via transposon-inspired mechanisms can be selected for undernon-stationary and coevolutionary scenarios, including when such changes areheritable.

On Mobile DNA in Artificial Regulatory Networks: Evolving Functional and Structural Dynamism