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.

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