G-2015-57
A taxonomy of constraints in simulation-based optimization
et référence BibTeX
The types of constraints encountered in black-box and simulation-based optimization problems differ significantly from those treated in nonlinear programming. We introduce a characterization of constraints to address this situation. We provide formal definitions for several constraint classes and present illustrative examples in the context of the resulting taxonomy. This taxonomy, denoted QRAK, is useful for modeling and problem formulation, as well as optimization software development and deployment. It can also be used as the basis for a dialog with practitioners in moving problems to increasingly solvable branches of optimization.
Paru en juin 2015 , 18 pages
Axe de recherche
Publication
juin 2024
et
Optimization and Engineering, 25, 1125–1143 , 2024
référence BibTeX