On an application of Microsoft Excel's evolutionary solver to the resource-constrained project scheduling problem RCPSP. - Norbert Trautmann; Mario Gnägi (IEEM, 2015)

A Continuous-Time MILP Formulation for the Multi-Mode Resource-Constrained Project Scheduling Problem. - Mario Gnägi; Tom Rihm; Norbert Trautmann (IEEM, 2018)

A Continuous-Time Unit-Based MILP Formulation for the Resource-Constrained Project Scheduling Problem. - Mario Gnägi; Adrian Zimmermann; Norbert Trautmann (IEEM, 2018)

A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem. - Mario Gnägi; Norbert Trautmann (IEEM, 2019)

Two continuous-time assignment-based models for the multi-mode resource-constrained project scheduling problem. - Mario Gnägi; Tom Rihm; Adrian Zimmermann; Norbert Trautmann (Comput. Ind. Eng., 2019)

A matheuristic for large-scale capacitated clustering. - Mario Gnägi; Philipp Baumann (Comput. Oper. Res., 2021)

Workload-based Extensions of Mixed-integer Programming Models for Resource-constrained Project Scheduling. - Jonas Saupe; Mario Gnägi; Norbert Trautmann (IEEM, 2023)

Mixed-integer linear programming for project scheduling under various resource constraints. - Nicklas Klein; Mario Gnägi; Norbert Trautmann (Eur. J. Oper. Res., 2024)

MIP-based solution approaches for multi-site resource-constrained project scheduling. - Tamara Bigler; Mario Gnägi; Norbert Trautmann (Ann. Oper. Res., 2024)