Low Cost Evolution in Materio

This thesis describes a method of using a Low-Cost computer to program Low-Cost materials to perform a computation. The work demonstrates that an evolutionary algorithm running on a Raspberry Pi can exploit physical properties of graphene and sets of resistors to solve simple travelling salesman problems. The work goes on to investigate the use of the platform to evolve a simple electro-magnetic sensor to show the applicability of the platform to solving other problems which cannot be solved in any other way.