Most global optimization systems provide little output beyond an estimated optimum point or a failure message. Since nonlinear global optimization problems can be quite complex, more information is needed if the solution is to be trusted or if the model requires modification. We describe a system which provides measures of confidence in the returned solution, and helpful information in the case of infeasibility, unboundedness, or early termination.

Additional Metadata
Journal Computers and Operations Research
Dravnieks, E.W. (Erik W.), & Chinneck, J. (1997). Formulation assistance for global optimization problems. Computers and Operations Research, 24(12), 1151–1168.