Research at TiSEM

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Top Publications Research group: Operations Research

TiSEM is pleased to announce these recent (2019-2022) publications in top journals.

Kirschner, F. & de KLerk, E. (Accepted/In Press). Construction of multivariate polynomial approximation kernels via semidefinite programming. SIAM Journal on Optimization.
Barkel, M. & Delorme, M. (Accepted/In Press). Arcflow formulations and constraint generation frameworks for the two-bar charts packing problem. INFORMS Journal on Computing.
Kleer, P. (Accepted/In Press). Sampling from the Gibbs distribution in congestion games. Mathematics of Operations Research.
Hu, H. Sotirov, R. & Wolkowicz, H. (Accepted/In Press). Facial reduction for symmetry reduced semidefinite and doubly nonnegative programs. Mathematical Programming.
Delorme, M., Garcia, S., Gondzio, J., Kalcsics, J., Manlove, D. & Pettersson, W. (Accepted/In Press). New algorithms for hierarchical optimization in kidney exchange programmes. Operations Research. 
Henrion, D., Kirschner, F., de Klerk, E., Korda, M., Lasserre, J.B. & Magron, V. (Accepted/In Press). Revisiting semidefinite programming approaches to options pricing: Complexity and computational perspectives. INFORMS Journal on Computing.
Laurent, M. & Vargas, L.F. (2022). Exactness of Parrilo's conic approximations for copositive matrices and associated low order bounds for the stability number of a graph. Mathematics of Operations Research. https://doi.org/10.1287/moor.2022.1290
Laurent, M. & Vargas, L.F. (2022). Finite convergence of sum-of-squares hierarchies for the stability number of a graph. SIAM Journal on Optimization, 32(2), 491-518. https://doi.org/10.1137/21M140345X
Slot, L. (2022). Sum-of-squares hierarchies for polynomial > optimization and the Christoffel-Darboux kernel. SIAM Journal on Optimization, 32(4), 2612-2632https://doi.org/10.1137/21M1458338
Delorme, M. & Santini, A. (2022). Energy-efficient automated vertical farms. Omega, 109, 102611. https://doi.org/10.1016/j.omega.2022.102611
Balter, A., Schweizer, N. & Vera J.C. (Accepted/In Press). Contingent capital with stock price triggers in interbank networks. Mathematics of Operations Research
Van Eekelen, W., Den Hertog, D. & van Leeuwaarden, J.S.H. (2022). MAD dispersion measure makes extremal queue analysis simple. INFORMS Journal on Computing, 34(3), 1681-1692. https://doi.org/10.1287/ijoc.2021.1130
Herings, P.J-J. & Zhan, Y. (2022). The computation of pairwise stable networks. Mathematical Programming. https://doi.org/10.1007/s10107-022-01791-x
Sinjorgo, L. & Sotirov, R. (2022). On the generalized $\vartheta$-number and related problems for highly symmetric graphs. SIAM Journal on Optimization, 32(2), 1344-1378https://doi.org/10.1137/21M1414620
Amanatidis, G., Kleer, P. & Schäfer, G. (2022). Budget-feasible mechanism design for non-monotone submodular objectives: Offline and online. Mathematics of Operations Research, 47(3), 2286-2309. https://doi.org/10.1287/moor.2021.1208
Wissing, P., & Van Dam, E. (2022). Spectral fundamentals and characterizations of signed directed graphs. Journal of Combinatorial Theory, Series A, 187, 105573. https://doi.org/10.1016/j.jcta.2021.105573
Sotirov, R., Kuryatnikova, O., & Vera, J. (2022). The maximum $k$-colorable subgraph problem and related problems. INFORMS Journal on Computing, 34(1), 656-669. https://doi.org/10.1287/ijoc.2021.1086
Zamani, M., & Hladic, M. (2022). Error bounds and a condition number for the absolute value. Mathematical Programming. https://doi.org/10.1007/s10107-021-01756-6
Badenbroek, R. & de Klerk, E. (2022).  Complexity analysis of a sampling-based interior point method for convex optimization. Mathematics of Operations Research, 47(1), 779-811. https://doi.org/10.1287/moor.2021.1150
Slot, L., & Laurent, M. (2022). Improved convergence analysis of Lasserre's measure -based upper bounds for polynomial minimization on compact sets. Mathematical Programming, 193, 831-871. https://doi.org/10.1007/s10107-020-01468-3
De Klerk, E., & Laurent, M. (2022). Convergence analysis of a Lasserre hierarchy of upper bounds for polynomial minimization on the sphere. Mathematical Programming, 193(2), 665-685https://doi.org/10.1007/s10107-019-01465-1
Merzifonluoglu, Y., & Geunes, J. (2021). The risk-averse static stochastic knapsack problem. INFORMS Journal on Computing, 33(3), 931-948. https://doi.org/10.1287/ijoc.2020.0972
Badenbroek, R., & De Klerk, E. (2021). An analytic center cutting plane method to determine complete positivity of a matrix. INFORMS Journal on Computing, 34(2), 1115-1125. https://doi.org/10.1287/ijoc.2021.1108

Brosch, D., Laurent, M., & Steenkamp, A. (2021). Optimizing hypergraph-based polynomials modeling job-occupancy in queueing with redundancy scheduling. Siam Journal on Optimization, 31(3), 2227-2254. https://doi.org/10.1287/ijoc.2021.1108

Grass, D., Feichtinger, G., Kort, P., & Seidl, A. (2021). Why (some) abnormal problems are "normal". Systems & Control Letters, 154, 104971. https://doi.org/10.1016/j.sysconle.2021.104971
Pena, J.F., Vera, J.C., & Zuluaga, L.F. (2021). New characterizations of Hoffman constants for systems of linear constraints. Mathematical Programming, 187, 79-109https://doi.org/10.1007/s10107-020-01473-6
Zhen, J., de Ruiter, F.J.C.T., Roos, E., & den Hertog, D. (2021). Robust optimization for models with uncertain SOC and SDP constraints. INFORMS Journal on Computing, 34(1), 196-210https://doi.org/10.1287/ijoc.2020.1025
De Meijer, F., & Sotirov, R. (2021). SDP-based bounds for the Quadratic Cycle Cover Problem via cutting plane augmented Lagrangian methods and reinforcement learning. INFORMS Journal on Computing, 33(4), 1262-1276. https://doi.org/10.1287/ijoc.2021.1075

Slot, L. & Laurent, M. (2021). Near-optimal analysis of Lasserre's univariate measure-based bounds for multivariate polynomial optimization. Mathematical Programming, 188(2), 443-460https://doi.org/10.1007/s10107-020-01586-y

Wissing, P., & van Dam, E. (2020). The negative tetrahedron and the first infinite family of connected digraphs that are strongly determined by the Hermitian spectrum. Journal of Combinatorial Theory, Series A, 173, 105232. https://doi.org/10.1016/j.jcta.2020.105232
Mukherjee, D., Borst, S., van Leeuwaarden, J., & Whiting, P. (2020). Asymptotic optimality of power-of-d load balancing in large-scale systems. Mathematics of Operations Research, 45(4), 1535-1571. https://doi.org/10.1287/moor.2019.1042

Roos, E., & den Hertog, D. (2020). Reducing conservatism in robust optimization. INFORMS Journal on Computing, 32(4), 1109-1127. https://doi.org/10.1287/ijoc.2019.0913

Hu, H., & Sotirov, R. (2020). On solving the quadratic shortest path problem. INFORMS Journal on Computing, 32(2), 219-233. https://doi.org/10.1287/ijoc.2018.0861

Xia, W., Vera, J. C., & Zuluaga, L. F. (2020). Globally solving non-convex quadratic programs via linear integer programming techniques. INFORMS Journal on Computing, 32(1), 40-56. https://doi.org/10.1287/ijoc.2018.0883
de Klerk, E., & Laurent, M. (2020). Worst-case examples for Lasserre's measure-based hierarchy for polynomial optimization on the hypercube. Mathematics of Operations Research, 45(1), 86-98. https://doi.org/10.18287/moor.2018.0983
de Klerk, E., Kuhn, D., & Postek, K. (2020). Distributionally robust optimization with polynomial densities: theory, models and algorithms. Mathematical Programming, 181, 265-296. https://doi.org/10.1007/s10107-019-01429-5
Balliauw, M, Kort, P.M., & Zhang, A. (2019). Capacity investment decisions of two competing ports under uncertainty: A strategic real options approach. Transport Research Part B, 122, 249-264.

Balvert, M., den Hertog, D., & Hoffmann, A. L. (2019). Robust optimization of dose-volume metrics for prostate HDR-brachytherapy incorporating target- and OAR volume delineation uncertainties. INFORMS Journal on Computing, 31(1), 100-114. https://doi.org/10.1287/ijoc.2018.0815