this article we briefly review the central constructs in combinatorial opti- mization and in statistical mechanics and then develop the similarities between the two fields. We show how the Metropolis algorithm for approximate numerical simulation of the behavior of a manybody system at a finite temperature provides a natural tool for bringing the techniques of statistical mechanics to bear on optimization. We have applied this point of view to a number of problems arising in optimal design of...