D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ridepooling applications", European Journal of Operational Research, vol. 301, pp. 1048-1063, 2022.

C. Schillings, C. Totzeck and P. Wacker, "Ensemble-based gradient inference for particle methods in optimization and sampling", 2022.

M. Reiners, K. Klamroth, F. Heldmann and M. Stiglmayr, "Efficient and sparse neural networks by pruning weights in a multiobjective learning approach", Computers & Operations Research, pp. 105676, 2022.

A. Acu, M. Dancs, M. Heilmann, I. Raşa and V. Paşca, "A Bernstein-Schnabl type operator", Applicable Analysis and Discrete Mathematics, vol. 16(2), pp. 495-507, 2022.

M. Stiglmayr, J. R. Figueira, K. Klamroth, L. Paquete and B. Schulze, "Decision Space Robustness for Multiobjective Integer Linear Programming", Annals of Operations Research, vol. 319, pp. 1769--1791, 2022.

L. Paquete, B. Schulze, M. Stiglmayr and A. C. Lourenço, "Computing Representations using Hypervolume Scalarizations", Computers and Operations Research, vol. 137, pp. 105349, 2022.

N. Forget, S. L. Gadegaard, K. Klamroth, L. R. Nielsen and A. Przybylski, "Branch-and-bound and objective branching with three or more objectives", Computers & Operations Research, vol. 148, 2022.

J. Weissen, S. Goettlich and C. Totzeck, "Space mapping-based optimization with the macroscopic limit of interacting particle systems", Optimization and Engineering, vol. online, 2021.

D. Gaul, K. Klamroth and M. Stiglmayr, "Solving the Dynamic Dial-a-Ride Problem Using a Rolling-Horizon Event-Based Graph" in 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021), M. Müller-Hannemann and F. Perea, Eds. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, pp. 8:1-8:16.

A. Acu, H. Gonska and M. Heilmann, "Remarks on a Bernstein-type operator of Aldaz, Kounchev and Render", 2021.

M. Stiglmayr and D. Gaul, "Projekt Ride-Hailing Wuppertal" in Erfolgsformeln - Anwendungen der Mathematik, Matthias Ehrhardt and Michael G, Eds. 2021.

S. Goettlich and C. Totzeck, "Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks", Mathematics of Control, Signals, and Systems, vol. 34, pp. 185-214, 2021.

G. Eichfelder, K. Klamroth and J. Niebling, "Nonconvex constrained optimization by a filtering branch and bound", Journal of Global Optimization, vol. 80, pp. 31-61, 2021.

M. Burger, L. M. Kreusser and C. Totzeck, "Mean-field optimal control for biological pattern formation", ESAIM COCV, vol. 27, no. 40, 2021.

A. Acu, M. Heilmann and I. Raşa, "Iterates of convolution-type operators", Positivity, vol. 25, pp. 495-506, 2021.

M. Burger, R. Pinnau, C. Totzeck and O. Tse, "Mean-field optimal control and optimality conditions in the space of probability measures", SIAM Journal of Control and Optimization, vol. 59, no. 2, pp. 977-1006, 2021.

J. Schultes, M. Stiglmayr, K. Klamroth and C. Hahn, "Hypervolume Scalarization for Shape Optimization to Improve Reliability and Cost of Ceramic Components", Optimization and Engineering, vol. 22, no. 2, pp. 1203-1231, 2021.

J. Backhaus, M. Bolten, O. T. Doganay, M. Ehrhardt, B. Engel, C. Frey, H. Gottschalk, M. Günther, C. Hahn, J. Jäschcke, P. Jaksch, K. Klamroth, A. Liefke, D. Luft, L. Mäde, V. Marciniak, M. Reese, J. Schultes, V. Schulz, S. Schmitz, J. Steiner and M. Stiglmayr, "GivEn - Shape Optimization for Gas Turbines in Volatile Energy Networks" in Mathematical MSO for Power Engineering and Management, S. Goettlich, M. Herty and A. Milde, Eds. Springer Berlin/Heidelberg, 2021.

A. Acu, M. Heilmann and I. Raşa, "Eigenstructure and iterates for uniquely ergodic Kantorovich modifications of operators II", Positivity, vol. 25, pp. 1585-1599, 2021.

D. Gaul and D. R. Schmidt, "Chvátal-Gomory cuts for the Steiner tree problem", Discrete Applied Mathematics, vol. 291, pp. 188-200, 2021.

O. T. Doganay, "Biobjective shape optimization algorithms enhanced by derivative information", Dissertation, Bergische Universität Wuppertal, 2021.

T. Schnepper, K. Klamroth, J. Puerto and M. Stiglmayr, "A local analysis to determine all optimal solutions of p-k-max location problems on networks", Discrete Applied Mathematics, vol. 296, pp. 217-234, 2021.

T. Schnepper, K. Klamroth, J. Puerto and M. Stiglmayr, "A Local Analysis to Determine All Optimal Solutions of p-k-max Location Problems on Networks ", Discrete Applied Mathematics, vol. 296, pp. 217-234, 2021.

A. Acu, M. Heilmann and I. Raşa, "Strong converse results for linking operators and convex functions", Journal of Function Spaces, 2020.

R. Pinnau and C. Totzeck, "Space mapping-based receding horizon control for stochastic interacting particle systems: dogs herding sheep", Journal of Mathematics in Industry, vol. 10, no. 11, 2020.