Fitting potential-energy surfaces: A search in the function space by directed genetic programming

We propose new procedures by which genetic programming can be used to find the best functional form and the best set of parameters to fit the energies and the energy derivatives provided by ab initio calculations. Our main contribution is a new procedure, which we call a directed genetic search, which is more efficient and more stable than a “traditional” genetic program.