We present a greedy randomized adaptive search procedure (GRASP) for t
he network 2-partition problem. The heuristic is empirically compared
with the Kernighan-Lin (K&L) method on a wide range of instances. The
GRASP approach dominates K&L with respect to solution value on a large
percentage of the instances tested. The ability of GRASP to find opti
mal solutions is assessed by comparing its performance with a general
purpose mixed integer programming package.