 | Up a level |
Gnägi, Mario (23 October 2019). A matheuristic for large-scale capacitated clustering (Unpublished). In: INFORMS Annual Meeting. Seattle, WA. 20.-23. October 2019.
Gnägi, Mario (23 October 2019). A novel continuous-time mixed-binary linear programming formulation for the multi-site resource-constrained project scheduling problem (Unpublished). In: INFORMS Annual Meeting. Seattle, WA. 20.-23. October 2019.
Gnägi, Mario; Baumann, Philipp (2021). A matheuristic for large-scale capacitated clustering. Computers & operations research, 132, p. 105304. Elsevier 10.1016/j.cor.2021.105304
Bigler, Tamara; Gnägi, Mario; Trautmann, Norbert (2021). A novel matheuristic for the multi-site resource-constrained project scheduling problem. In: 17th International Workshop on Project Management and Scheduling.
Gnägi, Mario; Strub, Oliver (2020). Tracking and outperforming large stock-market indices. Omega, 90(101999), p. 101999. Elsevier 10.1016/j.omega.2018.11.008
Gnägi, Mario; Trautmann, Norbert (16 December 2019). A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).. Macau. 15.-18.12.2019.
Gnägi, Mario; Rihm, Tom; Zimmermann, Adrian; Trautmann, Norbert (2019). Two continuous-time assignment-based models for the multi-mode resource-constrained project scheduling problem. Computers & industrial engineering, 129, pp. 346-353. Elsevier 10.1016/j.cie.2019.01.033
Gnägi, Mario; Zimmermann, Adrian; Trautmann, Norbert (19 December 2018). A continuous-time unit-based MILP formulation for the resource-constrained project scheduling problem. In: IEEM 2018: IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok. 16.-19.12.2018.
Trautmann, Norbert; Gnägi, Mario (19 December 2018). A continuous-time unit-based MILP formulation for the resource-constrained project scheduling problem (Unpublished). In: IEEM International Conference on Industrial Engineering and Engineering Management 2018. Bangkok. 16.-19. Dezember 2018.
Gnägi, Mario; Rihm, Tom; Trautmann, Norbert (17 December 2018). A continuous-time MILP formulation for the multi-mode resource-constrained project scheduling problem. In: IEEM 2018: IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok. 16.-19.12.2018.
Gnägi, Mario; Baumann, Philipp (10 December 2017). Large-scale clustering using mathematical programming. In: Proceeding of the 2017 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore. 10.-13. Dezember. 10.1109/IEEM.2017.8289999
Trautmann, Norbert; Gnägi, Mario (December 2016). An implementation of the parallel schedule-generation scheme for applying Microsoft Excel's Evolutionary Solver to the resource-constrained project scheduling problem RCPSP. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 35-39). IEEE 10.1109/IEEM.2016.7797831
Gnägi, Mario; Trautmann, Norbert (2016). Microsoft Excel’s Evolutionary Solver and the Resource-Constrained Project Scheduling Problem RCPSP: Solution Approach and Performance Analysis (Unpublished). In: Proceedings of the 15th International Conference on Project Management and Scheduling. Valencia. 19.-22.04.2016.
Trautmann, Norbert; Gnägi, Mario (December 2015). On an Application of Microsoft Excel’s Evolutionary Solver to the Resource-Constrained Project Scheduling Problem RCPSP. Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 646-650. Singapore: IEEE 10.1109/IEEM.2015.7385727
