Path optimization is desirable in many problem instances occurring in discr
ete manufacturing and pick and place technology. The problem may refer to a
pplications ranging from two-dimensional movements such as in milling proce
sses to three-dimensional movements required in many robotic operations. Th
e optimal path can be found using tour construction techniques. sub tour el
imination techniques and tour to tour improvement techniques. The limits to
which these solution methodologies call be applied are restricted to a cer
tain number of nodes. The optimal path for two- and three-dimensional TSP i
s determined using a stochastic search procedure based on a tour improvemen
t technique. An optimal solution is presented for 500 node TSP in two dimen
sions. A procedure for finding optimal path for an even larger number of no
des is outlined. The optimal path in three dimensions is also presented usi
ng nodes distributed along the periphery of three-dimensional primitives.