  GoTools is a program which solves life & death problems in the game of Go.
This paper describes experiments using a Genetic Algorithm to optimize
heuristic weights used by GoTools' tree-search. The complete set of heuristic
weights is composed of different subgroups, each of which can be optimized with
a suitable fitness function. As a useful side product, an MPI interface for
FreePascal was implemented to allow the use of a parallelized fitness function
running on a Beowulf cluster. The aim of this exercise is to optimize the
current version of GoTools, and to make tools available in preparation of an
extension of GoTools for solving open boundary life & death problems, which
will introduce more heuristic parameters to be fine tuned.
