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.

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.

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

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.

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

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.

P. Halffmann, L. E. Schäfer, K. Dächert, K. Klamroth and S. Ruzika, "Exact algorithms for multiobjective linear optimization problems with integer variables - a state of the art survey", Journal of Multicriteria Decision Analysis, vol. 29, pp. 343–363, 2022.

D. Könen, D. Schmidt and C. Spisla, "Finding all minimum cost flows and a faster algorithm for the K best flow problem", Discrete Applied Mathematics, vol. 321, pp. 333-349, 2022.

O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "Modeling Minimum Cost Network Flows With Port-Hamiltonian Systems", PAMM, 2022. Wiley.

A. Tordeux and C. Totzeck, "Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems", 2022.

J. Sudhoff, "Ordinal costs in multi-objective combinatorial optimization", Dissertation, Bergische Universität Wuppertal, 2022.

M. Bolten, O. T. Doganay, H. Gottschalk and K. Klamroth, "Tracing locally Pareto optimal points by numerical integration", SIAM Journal on Control and Optimization, vol. 59, no. 5, pp. 3302-3328, 2022.

A. Acu, M. Dancs, M. Heilmann, I. Raşa and V. Paşca, "Voronovskaya type results for special sequences of operators", RACSAM, vol. 116,19, 2022.

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.

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

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

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.

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.

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.

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

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.