L. Warnow
M. Sc. Leo Warnow
Academic Staff Member
+49 3677 69-3626
leo.warnow@tu-ilmenau.de
PGP public key
Mailing address: TU Ilmenau, Faculty MN, P.O. Box 10 05 65, 98684 Ilmenau, Germany
Address for visitors: Weimarer Str. 25, 98693 Ilmenau, Germany
Office: Curiebau, C 234
- Multi-objective Optimization
- Mixed-Integer Optimization
- Algorithm Development
- Gabriele Eichfelder, Oliver Stein, Leo Warnow, A solver for multiobjective mixed-integer convex and nonconvex optimization, Journal of Optimization Theory and Applications, 2023.
- Gabriele Eichfelder and Leo Warnow, A hybrid patch decomposition approach to compute an enclosure for multi-objective mixed-integer convex optimization problems, Mathematical Methods of Operations Research, 2023.
- Gabriele Eichfelder, Tobias Gerlach, Leo Warnow, A Test Instance Generator for Multiobjective Mixed-integer Optimization, Mathematical Methods of Operations Research, 2023
- Marianna De Santis, Gabriele Eichfelder, Daniele Patria, Leo Warnow, Using dual relaxations in multiobjective mixed-integer quadratic programming, OptimizationOnline, 2023
- Gabriele Eichfelder, Tobias Gerlach, Leo Warnow, Test Instances for Multiobjective Mixed-Integer Nonlinear Optimization, OptimizationOnline, 2023
- Gabriele Eichfelder and Leo Warnow, Advancements in the computation of enclosures for multi-objective optimization problems, European Journal of Operational Research, 310(1), 315-327, 2023.
- Gabriele Eichfelder and Leo Warnow, An approximation algorithm for multi-objective optimization problems using a box-coverage, Journal of Global Optimization, 83, 329-357 2022.
- Gabriele Eichfelder and Leo Warnow, On implementation details and numerical experiments for the HyPaD algorithm to solve multi-objective mixed-integer convex optimization problems, Optimization Online, 2021.
- Gabriele Eichfelder and Leo Warnow, Proximity measures based on KKT points for constrained multi-objective optimization problems, Journal of Global Optimization, 80, 63-86, 2021.
- DFG Project: Mixed-integer nonlinear multi-objective optimization
Further details can be found on the project's page. - AdEnA - Advanced Enclosure Algorithm
MATLAB Tool for solving multi-objective optimization problems, especially multi-objective convex and multi-objective mixed-integer quadratic problems, publicly available on GitHub. More information on our Group's website. - HyPaD - Hybrid Patch Decomposition Algorithm
MATLAB Tool for solving multi-objective mixed-integer convex optimization problems, publicly available on GitHub. More information on our Group's website. - MOMIBB - Multiobjective Mixed-Integer Branch-and-Bound Algorithm
MATLAB Tool for solving multi-objective mixed-integer (nonconvex) optimization problems, publicly available on GitHub. More information on our Group's website. - ASMO - A Solver for Multiobjective Optimization
MATLAB Tool for solving multi-objective optimization problems, available on GitHub. More information on our Group's website.
- SIGOPT 2023
A Solver for Multi-Objective Mixed-Integer Optimization Problems using Hybrid Patch Decomposition
14.03.2023 - 16.03.2023
Cottbus - Workshop "Vektor- und Mengenwertige Optimierung"
A new algorithm to solve nonconvex multi-objective mixed-integer optimization problems
03.11.2022 - 04.11.2022
Wittenberg - EUROPT 2022
Solving multi-objective mixed-integer optimization problems by hybrid patch decomposition
29.07.2022 - 30.07.2022
Lisbon - Stockholm Optimization Days 2022
Approximating the nondominated set of multi-objective mixed-integer optimization problems by hybrid patch decomposition
16.06.2022 - 17.06.2022
Stockholm - Seminar on Optimization
Using hybrid patch decomposition to solve multi-objective mixed-integer convex optimization problems
07.06.2022
Rome - SOfA 2022
A deterministic solver for multiobjective mixed-integer convex and nonconvex optimization problems
30.05.2022 - 03.06.2022
Online (Ankara) - Oberseminar of Numerical Optimization
A new approach to solve multi-objective mixed-integer convex optimization problems
30.11.2021
Konstanz - Workshop "Vektor- und Mengenwertige Optimierung"
A hybrid patch decomposition algorithm for multi-objective mixed-integer convex optimization problems
21.10.2021 - 22.10.2021
Wittenberg - Seminar on Operations Research
Computing an enclosure for (MOMICP) using a hybrid patch decomposition approach (HyPaD)
28.09.2021
Karlsruhe - RAMOO 2021
Computing an enclosure for multi-objective mixed-integer convex optimization problems
23.09.2021
Online - EUROPT 2021
Computing a box-coverage for multi-objective optimization problems
07.07.2021 - 09.07.2021
Online - Oberseminar Optimization (FSU Jena)
Computing an enclosure to approximate the nondominated set of multi-objective optimization problems
06.07.2021
Online - WSOPT 2021
Approximating the nondominated set of multi-objective optimization problems using boxes
24.03.2021 - 25.03.2021
Online - ANZIAM 2021
A box approximation algorithm for multi-objective optimisation problems
31.01.2021 - 05.02.2021
Online - Workshop "Vektor- und Mengenwertige Optimierung"
An approximation algorithm for multi-objective optimization problems using a box-coverage
22.10.2020 - 23.10.2020
Wittenberg - SIGOPT 2020
A New Proximity Measure Based on KKT Conditions for Multiobjective Optimization Problems
04.03.2020 - 06.03.2020
Dortmund - Workshop "Vektor- und Mengenwertige Optimierung"
An error measure for necessary optimality conditions for constrained multiobjective optimization problems
24.10.2019 - 25.10.2019
Wittenberg - Workshop "Vektor- und Mengenwertige Optimierung"
On special classes of set optimization problems, test instances and an easy solution approach
25.10.2018 - 26.10.2018
Wittenberg
- RAMOO 2020
17.09.2020
Online - Wissenswerte Bremen
25.11.2019 - 27.11.2019
Bremen - Summer School on MINLP
13.08.2018 - 16.08.2018
Trier