Nico Strasdat

According to our database, Nico Strasdat authored at least 9 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Worst-case analysis of heuristic approaches for the temporal bin packing problem with fire-ups.

John Martinovic, Nico Strasdat

Ann. Oper. Res., February, 2024

2023

Solving the skiving stock problem by a combination of stabilized column generation and the Reflect Arc-Flow model.

Laura Korbacher, Stefan Irnich, John Martinovic, Nico Strasdat

Discret. Appl. Math., July, 2023

A combinatorial flow-based formulation for temporal bin packing problems.

John Martinovic, Nico Strasdat, José M. Valério de Carvalho, Fabio Furini

Eur. J. Oper. Res., June, 2023

2022

Variable and constraint reduction techniques for the temporal bin packing problem with fire-ups.

John Martinovic, Nico Strasdat, José M. Valério de Carvalho, Fabio Furini

Optim. Lett., 2022

A Heuristic Column Generation Approach for the Stochastic Bin Packing Problem.

John Martinovic, Nico Strasdat, Jean-François Côté, Vinícius Loti de Lima

Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

2021

Compact integer linear programming formulations for the temporal bin packing problem with fire-ups.

John Martinovic, Nico Strasdat, Maximilian Selch

Comput. Oper. Res., 2021

A Heuristic-Based Reduction for the Temporal Bin Packing Problem with Fire-Ups.

John Martinovic, Nico Strasdat

Proceedings of the 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, 2021

2020

Improved flow-based formulations for the skiving stock problem.

John Martinovic, Maxence Delorme, Manuel Iori, Guntram Scheithauer, Nico Strasdat

Comput. Oper. Res., 2020

2015

Efficient optimization of hyper-parameters for least squares support vector regression.

Andreas Fischer, Gerd Langensiepen, Klaus Luig, Nico Strasdat, Thorsten Thies

Optim. Methods Softw., 2015