This seminar investigates the use of partial functions in genetic programming. Previous work has shown that the convergent behaviour of populations of partial functions is very similar to that of populations of total functions. However, the convergence rates of populatins of partial functions have been slower. The results presented by this seminar demonstrate a significant improvement in the rate of convergence of populations of partial functions, and indicate that partial functions represent a realistic alternative to total functions for a range of problems.