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.

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. 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.

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

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, 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.

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

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.

B. Schulze, M. Stiglmayr, L. Paquete, C. M. Fonseca, D. Willems and S. Ruzika, "On the Rectangular Knapsack Problem Approximation of a Specific Quadratic Knapsack Problem ", Mathematical Methods of Operations Research, vol. 92, no. 1, pp. 107-132, 2020.

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.

E. Berdysheva, M. Heilmann and K. Hennings, "Pointwise convergence of the Bernstein-Durrmeyer operator with respect to a collection of measures", Journal of Approximation Theory, vol. 251, Article 105339, 2020.

L. Schlachter and C. Totzeck, "Parameter identification in uncertain scalar conservation laws discretized with the discontinuous stochastic Galerkin Scheme", Communications in Computational Physics, vol. 28, no. 4, pp. 1585-1608, 2020.

U. Abel, M. Heilmann and V. Kushnirevych, "Convergence of linking Baskakov-type operators", Periodica Mathematica Hungarica, vol. 80, pp. 280-288, 2020.