Mexi, Gioni
Funktion:
Mitarbeiter/in
Raum:
3101
Arbeitsgruppe:
Mail:
mexi
zib.de
zib.deTelefon:
+49 30 841 85 - 577
Personal website:
Projekte
Mitglieder
Publikationen
2023
2022
2021
2020
2023 |
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| Gioni Mexi, Timo Berthold, Ambros Gleixner, Jakob Nordström | Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning | 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), pp. 27:1-27:19, Vol.280, Leibniz International Proceedings in Informatics (LIPIcs), 2023 |
BibTeX
DOI |
| Gioni Mexi, Mathieu Besançon, Suresh Bolusani, Antonia Chmiela, Alexander Hoen, Ambros Gleixner | Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization | Proceedings of Conference of the Society for Operations Research in Germany, 2023 |
BibTeX
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| Timo Berthold, Gioni Mexi, Domenico Salvagnin | Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump | EURO Journal on Computational Optimization, Vol.11, 2023 (preprint available as ZIB-Report 22-14) |
PDF (ZIB-Report)
BibTeX URN DOI |
2022 |
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| Kai Hoppmann-Baum, Oleg Burdakov, Gioni Mexi, Carl Johan Casselgren, Thorsten Koch | Length-Constrained Cycle Partition with an Application to UAV Routing | Optimization Methods and Software, 2022 (preprint available as ZIB-Report 20-30) |
PDF (ZIB-Report)
BibTeX DOI |
2021 |
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| Gioni Mexi | New Ideas for the Feasibility Pump: Using Multiple Reference Vectors | Master's thesis, Technische Universität Berlin, Thorsten Koch, Timo Berthold (Advisors), 2021 |
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BibTeX URN |
2020 |
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| Kai Hoppmann-Baum, Gioni Mexi, Oleg Burdakov, Carl Johan Casselgren, Thorsten Koch | Minimum Cycle Partition with Length Requirements | Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Emmanuel Hebrard, Nysret Musliu (Eds.), Springer International Publishing: Cham, pp. 273-282, 2020, ISBN: 978-3-030-58941-7 |
BibTeX
DOI |
| Gioni Mexi | Node Partitioning and Subtours Creation Problem (NPSC) | Bachelor's thesis, Technische Universität Berlin, Thorsten Koch, Kai Hoppmann (Advisors), 2020 |
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BibTeX URN |