In this paper we demonstrate success with an implementation of a genetic al
gorithm, integrated with linear programming, for solving a minimum cost net
work synthesis problem. The problem is formulated to include a number of pr
actical constraints and the technique applied to moderately large networks
(50 nodes). The associated linear program may be large but successful metho
ds have been developed with very small population sizes for the genetic alg
orithm.