Arbeitsgruppe Optimierung

Publikationen



2023
U. Abel, A. M. Acu, M. Heilmann and I. Raşa, "Positive linear operators preserving certain monomials on [0, ∞)", Dolomites Research Notes on Approximation, vol. 16, pp. 1-9, 2023.
B. Jacob and C. Totzeck, "Port-Hamiltonian structure of interacting particle systems and its mean-field limit", 2023.
A. Acu, M. Heilmann, I. Raşa and A. Seserman, "Poisson approximation to the binomial distribution: extensions to the convergence of positive operators", Rev. Real Acad. Cienc. Exactas Fis. Nat. Ser. A-Mat., vol. 117, 2023.
F. Heldmann, S. Berkhahn, M. Ehrhardt and K. Klamroth, "PINN training using biobjective optimization: The trade-off between data loss and residual loss", Journal of Computational Physics, vol. 488, pp. 112211, 2023.
J. A. Carrillo, C. Totzeck and U. Vaes, "Consensus-based Optimization and Ensemble Kalman Inversion for Global Optimization Problems with Constraints" in Modeling and Simulation for Collective Dynamics,Lecture Notes Series, Institute for Mathematical Sciences, NUS, 2023.
O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "Optimal control for port-Hamiltonian systems and a new perspective on dynamic network flow problems", 2023.
J. Gorski, K. Klamroth and J. Sudhoff, "Biobjective optimization problems on matroids with binary costs", Optimization, vol. 72, no. 7, pp. 1931-1960, 2023. Taylor & Francis.
F. Kordon, M. Stiglmayr, A. Maier, C. M. Vicario, T. Pertlwieser and H. Kunze, "A principled representation of elongated structures using heatmaps", Scientific Reports, vol. 13, no. 15253, Sep. 2023.
J. Bauß, S. N. Parragh and M. Stiglmayr, "Adaptive Improvements of Multi-objective Branch and Bound", 2023.
K. Kraus, K. Klamroth and M. Stiglmayr, "On the online path extension problem -- Location and routing problems in board games", 2023.
D. Könen and M. Stiglmayr, "An output-polynomial time algorithm to determine all supported efficient solutions for multi-objective integer network flow problems", 2023.
A. Acu, M. Heilmann, I. Raşa and A. Seserman, "Convergence of linking Durrmeyer type modifications of generalized Baskakov operators", Bulletin of the Malaysian Math. Sciences Society, vol. 46, no. 3, 2023.
K. Klamroth, B. Lang and M. Stiglmayr, "Efficient Dominance Filtering for Unions and Minkowski Sums of Non-Dominated Sets", Computers and Operations Research, 2023. Elsevier {BV}.
U. Abel, A. M. Acu, M. Heilmann and I. Raşa, "Genuine Bernstein–Durrmeyer type operators preserving 1 and $x^j$", Annals of Functional Analysis, vol. 15, no. 1, Okt. 2023. Springer Science and Business Media LLC.
G. Albi, F. Ferrarese and C. Totzeck, "Kinetic based optimization enhanced by genetic dynamics", 2023.
K. Klamroth, M. Stiglmayr and J. Sudhoff, "Multi-objective matroid optimization with ordinal weights", Discrete Applied Mathematics, vol. 335, pp. 104-119, 2023.
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.
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. Tordeux and C. Totzeck, "Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems", 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.
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.
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. 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. 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.

zuletzt bearbeitet am: 16.10.2024

Weitere Infos über #UniWuppertal: