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Abstract. This paper presents a grid-enabled system for solving largescale optimization problems. The system has been developed using Globus and MPICH-G2 grid technologies, and consists of two BCP solvers and of an interface portal. After a brief introduction to Branch, Cut and Price optimization algorithms, the system architecture, the solvers and the portal user interface are described. Finally, some of the tests performed and the obtained results are illustrated.

Abstract. This paper presents our computational experience with parallel Branch, Cut and Price algorithms in a geographically-distributed grid environment. After a brief description of our framework for solving large-scale optimization problems, we describe the experimental grid environment and the tests performed, presenting the obtained performance results.