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Mario Gnägi
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2020 – today
- 2024
- [j4]Tamara Bigler
, Mario Gnägi
MIP-based solution approaches for multi-site resource-constrained project scheduling. Ann. Oper. Res. 337(2): 627-647 (2024) - [j3]Nicklas Klein
Mixed-integer linear programming for project scheduling under various resource constraints. Eur. J. Oper. Res. 319(1): 79-88 (2024) - 2023
- [c5]Jonas Saupe, Mario Gnägi, Norbert Trautmann:
Workload-based Extensions of Mixed-integer Programming Models for Resource-constrained Project Scheduling. IEEM 2023: 645-649 - 2022
- [e1]Norbert Trautmann, Mario Gnägi:
Operations Research Proceedings 2021, Selected Papers of the International Conference of the Swiss, German and Austrian Operations Research Societies (SVOR/ASRO, GOR e.V., ÖGOR), University of Bern, Switzerland, August 31 - September 3, 2021. Lecture Notes in Operations Research, Springer 2022, ISBN 978-3-031-08623-6 [contents] - 2021
- [j2]Mario Gnägi, Philipp Baumann
A matheuristic for large-scale capacitated clustering. Comput. Oper. Res. 132: 105304 (2021)
2010 – 2019
- 2019
- [j1]Mario Gnägi, Tom Rihm
Two continuous-time assignment-based models for the multi-mode resource-constrained project scheduling problem. Comput. Ind. Eng. 129: 346-353 (2019) - [c4]Mario Gnägi, Norbert Trautmann:
A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem. IEEM 2019: 611-614 - 2018
- [c3]Mario Gnägi, Adrian Zimmermann, Norbert Trautmann
A Continuous-Time Unit-Based MILP Formulation for the Resource-Constrained Project Scheduling Problem. IEEM 2018: 432-436 - [c2]Mario Gnägi, Tom Rihm, Norbert Trautmann
A Continuous-Time MILP Formulation for the Multi-Mode Resource-Constrained Project Scheduling Problem. IEEM 2018: 452-456 - 2015
- [c1]Norbert Trautmann
On an application of Microsoft Excel's evolutionary solver to the resource-constrained project scheduling problem RCPSP. IEEM 2015: 646-650
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last updated on 2024-10-07 21:26 CEST by the dblp team
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