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Circuit Representation for Automatic Circuit Synthesis by Genetic Programming

A new circuit representation technique suitable for circuit synthesis by genetic programming is presented. This representation consists of a set of functions and terminals that are sufficient to generate a rich subset of passive circuit topologies. Used in conjunction with genetic programming to evolve new topologies, and with numerical optimization to determine component values, the circuit representation can be used for automatic analogue circuit synthesis. This approach to circuit synthesis incorporates no expert knowledge of analogue circuit design. Nevertheless it produces design solutions that are fully compliant with design goals whilst often being more efficient than those created manually by an experienced analogue circuit designer.