abstract = "A genetic programming-based circuit synthesis method
is proposed that enables to globally optimise the
number of gates in circuits that have already been
synthesised using common methods such as ABC and SIS.
The main contribution is a proposal for a new fitness
function that enables to significantly reduce the
fitness evaluation time in comparison to the state of
the art. The fitness function performs optimised
equivalence checking using a SAT solver. It is shown
that the equivalence checking time can significantly be
reduced when knowledge of the parent circuit and its
mutated offspring is taken into account. For a cost of
a random, results of conventional synthesis conducted
using SIS and ABC were improved by 20--40percent for
the LGSynth93 benchmarks.",