Dieter Weninger
Dr. Dieter Weninger, Akad. Rat
Projects
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Process optimization for hospital logistics
(Third Party Funds Single)
Term: since 01-01-2020
Funding source: Industrie
URL: https://en.www.math.fau.de/edom/projects-edom/logistics-and-production/process-optimization-for-hospital-logistics/ -
Decomposition methods for mixed-integer optimal control (A05) (2018 - 2022)
(Third Party Funds Group – Sub project)
Overall project: TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken
Term: 01-07-2018 - 30-06-2022
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)The focus lies on the development of mathematical decomposition methods for mixed-integer nonlinear optimal control problems on networks. On the top level (master) mixed-integer linear problems are in place, whereas in the sub-problem only continuous variables are considered. The exchange between the levels is performed not only via cutting planes, but also via the modelling of disjunctions to deal with non-convex optimal control problems as well. The overall emphasis is the mathematical analysis of structured mixed nonlinear optimization problems based on hierarchical models.
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Development of new Linear and Integer Programming Techniques to solve Supply Chain Management Problems
(Third Party Funds Single)
Term: since 01-03-2010
Funding source: IndustrieSupply Chain Management (SCM) deals with the combination of procurement, production, storage, transport and delivery of commodities. Problems of this kind occur in all kinds of industry branches. Since the integrated planning of these processes contains a high potential for optimization it is of great importance for the companies’ efficiency.
The method of choice to find optimal solutions in SCM is linear and integer programming. Nevertheless, there are big challenges to overcome – concerning both hardware and algorithms – due to very detailed and therefore large models. Additionally there may occur numerical difficulties that standard techniques cannot deal with.
As a consequence, the problem’s mathematical formulation has to be done carefully and new methods need to be implemented to improve the performance of MIP algorithms.
Publications
2022
An Exact Projection-Based Algorithm for Bilevel Mixed-Integer Problems with Nonlinearities
In: Journal of Global Optimization (2022)
ISSN: 0925-5001
DOI: 10.1007/s10898-022-01172-w
URL: http://www.optimization-online.org/DB_FILE/2020/12/8153.pdf
BibTeX: Download
(anderer)
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2021
The SCIP Optimization Suite 8.0
(2021)
BibTeX: Download
(Techreport)
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Computing optimality certificates for convex mixed-integer nonlinear problems
(2021)
URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/476/
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(Techreport)
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Presolving Linear Bilevel Optimization Problems
In: EURO Journal on Computational Optimization (2021)
ISSN: 2192-4406
DOI: 10.1016/j.ejco.2021.100020
URL: http://www.optimization-online.org/DB_HTML/2021/03/8286.html
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(Techreport)
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TIME-DOMAIN DECOMPOSITION FOR OPTIMAL CONTROL PROBLEMS GOVERNED BY SEMILINEAR HYPERBOLIC SYSTEMS
In: SIAM Journal on Control and Optimization 59 (2021), p. 4339-4372
ISSN: 0363-0129
DOI: 10.1137/20M138329X
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2020
The SCIP Optimization Suite 7.0
In: Konrad-Zuse-Zentrum für Informationstechnik Berlin : ZIB-Report (2020)
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(Techreport)
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Two-row and two-column mixed-integer presolve using hashing-based pairing methods
In: EURO Journal on Computational Optimization (2020)
ISSN: 2192-4406
DOI: 10.1007/s13675-020-00129-6
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A Decomposition Heuristic for Mixed-Integer Supply Chain Problems
In: Operations Research Letters (2020), Article No.: 0167-6377
ISSN: 0167-6377
DOI: 10.1016/j.orl.2020.02.006
URL: http://www.sciencedirect.com/science/article/pii/S0167637720300249
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2019
Presolve Reductions in Mixed Integer Programming
In: Informs Journal on Computing (2019)
ISSN: 1091-9856
URL: https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6037
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Two-row and two-column mixed-integer presolve using hash-based pairing methods
(2019)
URL: http://www.optimization-online.org/DB_HTML/2019/09/7357.html
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(Techreport)
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Tackling Industrial-Scale Supply Chain Problems by Mixed-Integer Programming
In: Journal of Computational Mathematics (2019)
ISSN: 0254-9409
URL: https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6110
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Benders' algorithm with (mixed)-integer subproblems
(2019)
URL: https://alfresco.uclouvain.be/alfresco/service/guest/streamDownload/workspace/SpacesStore/0f8e2eec-b77e-40a4-af87-b1a5a738e696/coredp2019_20web.pdf?guest=true
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(Techreport)
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2017
The SCIP Optimization Suite 5.0
(2017)
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(Techreport)
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The SCIP Optimization Suite 4.0
(2017)
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(Techreport)
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2016
The SCIP Optimization Suite 3.2
(2016)
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(Techreport)
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Solving mixed-integer programs arising in production planning (Dissertation, 2016)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/8226
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2015
Solving Network Design Problems via Iterative Aggregation
In: Mathematical Programming Computation 7 (2015), p. 189-217
ISSN: 1867-2957
DOI: 10.1007/s12532-015-0079-1
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Progress in presolving for mixed integer programming
In: Mathematical Programming Computation 7 (2015), p. 367-398
ISSN: 1867-2949
DOI: 10.1007/s12532-015-0083-5
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2014
Multi-Row Presolve Reductions in Mixed Integer Programming
Twenty-Sixth RAMP Symposium (Tokyo, 16-10-2014 - 17-10-2014)
In: Hosei University, Tokyo (ed.): Proceedings of the Twenty-Sixth RAMP Symposium 2014
URL: http://www.orsj.or.jp/ramp/2014/paper/4-4.pdf
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2009
Vision and Technique Behind the New Studios and Listening Rooms of the Fraunhofer IIS Audio Laboratory
In: Proc. Audio Eng. Soc. Conv., Munich, Germany: 2009
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Teaching
Exercise (UE)
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Übungen zu Lineare und nichtlineare Systeme (Querschnittmodul)
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Tafelübung zu Lineare und nichtlineare Systeme
Beginn am 4.5.2017