Return
Formulation assistance for global optimization problems
DOI:10.1016/S0305-0548(97)00026-9.png)
Abstract
En 中文
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. (C) 1997 Elsevier Science Ltd.
Keywords:
CENTERED FORMS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
4.3
Papers:
6.5K
Citations:
1.8W
Organization
No organization information available

