Grants per year
Personal profile
Research Interests
Large-scale nonlinear continuous optimization; mixed-integer nonlinear optimization; open source software implementation; application of optimization algorithms to industrial and scientific problems.
Education/Academic qualification
Chemical Engineering, PhD, Carnegie Mellon University
… → 2002
Diplom-Mathematiker (Master’s degree equivalent in Mathematics), University of Cologne
… → 1997
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Dive into the research topics where Andreas Waechter is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: Adaptive Gaussian Markov Random Fields for Large-scale Discrete Optimization via Simulation
7/15/19 → 6/30/23
Project: Research project
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Hybrid Interior-Point/Active-Set PSCOPF Algorithms Exploiting Power System Characteristics
Lehigh University, Advanced Research Projects Agency - Energy
12/13/18 → 7/31/22
Project: Research project
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Algorithms for Nonlinear Nonconvex Optimization under Uncertainty
9/15/15 → 8/31/19
Project: Research project
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A Two-Stage Decomposition Approach for AC Optimal Power Flow
Tu, S., Wachter, A. & Wei, E., Jan 2021, In: IEEE Transactions on Power Systems. 36, 1, p. 303-312 10 p., 9115808.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
DC Optimal Power Flow with Joint Chance Constraints
Pena-Ordieres, A., Molzahn, D. K., Roald, L. A. & Wachter, A., Jan 2021, In: IEEE Transactions on Power Systems. 36, 1, p. 147-158 12 p., 9122389.Research output: Contribution to journal › Article › peer-review
11 Scopus citations -
Frontloading-Ansatz für Energieeffizienz in der Umformtechnik Die hohen Freiheitsgrade in den frühen Phasen der Prozessgestaltung methodisch nutzen
Translated title of the contribution :Frontloading for energy efficiency in metal forming Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Rapid discrete optimization via simulation with Gaussian Markov Random fields
Semelhago, M., Nelson, B. L., Song, E. & Wächter, A., Jun 2021, In: INFORMS Journal on Computing. 33, 3, p. 915-930 16 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
An enhanced logical benders approach for linear programs with complementarity constraints
Jara-Moroni, F., Mitchell, J. E., Pang, J. S. & Wächter, A., Aug 1 2020, In: Journal of Global Optimization. 77, 4, p. 687-714 28 p.Research output: Contribution to journal › Article › peer-review