Optimality-based domain reduction for inequality-constrained NLP and MINLP problems

Author:

Zhang Yi,Sahinidis Nikolaos V.ORCID,Nohra Carlos,Rong Gang

Funder

MIIT

National Natural Science Foundation of China

China Scholarships Council

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Reference47 articles.

1. Achterberg, T., Wunderling, R.: Mixed integer programming: analyzing 12 years of progress. In: Jünger, M., Reinelt, G. (eds.) Facets of Combinatorial Optimization, pp. 449–481. Springer, Berlin (2013)

2. Balakrishnan, V., Boyd, S.: Global optimization in control system analysis and design. In: Leondes, C.T. (ed.) Control and Dynamic Systems, Advances in Theory and Applications. Academic Press, New York (1992)

3. Belotti, P., Lee, J., Liberti, L., Margot, F., Wächter, A.: Branching and bounds tightening techniques for non-convex MINLP. Optim. Methods Softw. 24, 597–634 (2009)

4. Bixby, R., Rothberg, E.: Progress in computational mixed integer programming-a look back from the other side of the tipping point. Ann. Oper. Res. 149, 37–41 (2007)

5. Bliek, C., Spellucci, P., Vicente, L. N., Neumaier, A., Granvilliers, L., Huens, E., Hentenryck, P., Sam-Haroud, D., Faltings, B.: Algorithms for solving nonlinear constrained and optimization problems: the state of the art (2001). https://www.mat.univie.ac.at/~neum/ms/StArt.pdf

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