Phil Duxbury, Carlile Lavor, Leo Liberti, Luiz de Salles-Neto, Unassigned distance geometry and molecular conformation problems, Journal of Global Optimization, accepted.
M. Pelegrín, C. D’Ambrosio, Aircraft deconfliction via Mathematical Programming: Review and insights, Transportation Science, accepted.
M. Cerulli, L. Liberti, Polynomial programming prevents aircraft (and other) conflicts, HAL open archives (hal-02971109-v2) 2021.
S. Haddad Vanier, L. Xu. Branch-and-Price for Energy Optimization in Wireless Multi-Hop Networks. Submitted to Networks International journal.
Gustavo Dias, Leo Liberti, Exploiting symmetries in mathematical programming via orbital independence, Annals of Operations Research, 298:149-182, 2021.
M. Cerulli, C. D’Ambrosio, L. Liberti, M. Pelegrín, Detecting and solving aircraft conflicts using bilevel programming, Journal of Global Optimization 1-29, 2021.
Ackooij, W., D’Ambrosio, C., Thomopulos, D., Trindade, R. S. , Decomposition and Shortest Path Problem Formulation for solving the Hydro Unit Commitment and Scheduling in a Hydro Valley. European Journal of Operational Research, 291(3): 935-943, 2021.
J Sliwak, M Anjos, L Létocart, E Traversi, A Semidefinite Optimization-based Branch-and-Bound Algorithm for Several Reactive Optimal Power Flow Problems, arXiv preprint arXiv:2103.13648, 2021
Khalife, S., Gonçalves, D., Allouah Y., and Liberti L., Further results on latent discourse models and word embeddings, HAL open archives (hal-02983109, v1), 2020.
Khalife, S., Gonçalves, D., and Liberti L., Distance geometry for word embeddings and applications, HAL open archives (hal-02892020, v1), 2020.
Claudia D’Ambrosio, Leo Liberti, Pierre-Louis Poirion, Ky Vu, Random projections for quadratic programs, Mathematical Programming B, 183:619-647, 2020.
G. Iommazzo, C. D’Ambrosio, A. Frangioni, L. Liberti, Learning to configure mathematical programming solvers by mathematical programming. In P. Pardalos, M. Brunato (Eds.), Learning and Intelligent Optimization (LION14), LNCS, 12096:377-389, Springer, New York, 2020.
D. Bienstock, M. Escobar, C. Gentile, and L. Liberti, Mathematical Programming formulations for the Alternating Current Optimal Power Flow problem, 4OR 18 (3): 249-292, 2020.
D. Bienstock and M. Escobar,Stochastic Defense Against Complex Grid Attacks, IEEE Transactions on Control of Network Systems 7 (2): 842-854, 2020
Leo Liberti, Distance Geometry and Data Science, TOP, 28:271-339, 2020.
J. Luedtke, C. D’Ambrosio, J. Linderoth, J. Schweiger. Strong convex nonlinear relaxations of the pooling problem, SIAM Journal on Optimization 30(2), 1582-1609, 2020
C. D’Ambrosio, S. Martello, M. Monaci. Lower and upper bounds for the non-linear generalized assignment problem, Computers & Operations Research 120, 104933, 2020
M Fliess, C Join, Data mining and time series segmentation via extrema: preliminary investigations, arXiv preprint arXiv:2009.09895, 2020
J Sliwak, E Andersen, MF Anjos, L Letocart, E Traversi, A Clique Merging Algorithm to Solve Semidenite Relaxations of Optimal Power Flow Problems, IEEE Transactions on Power Systems 1, 2020
F Furini, E Traversi, P Belotti, A Frangioni, A Gleixner, N Gould, L Liberti, …, QPLIB: a library of quadratic programming instances, Mathematical Programming Computation 11 (2), 237-265, 2019.
C D’Ambrosio, F Furini, M Monaci, E Traversi, On the product knapsack problem, Optimization Letters 12 (4), 691-712, 2018
F. Roda, Integrating high-level requirements in optimization problems: theory and applications. 4OR 12 (2), 199-200, 2014