Operations Research
lidam | Louvain-la-Neuve, Mons
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Topics Investigated in Operations Research
The 5 main topics studied by LIDAM researchers are :
LIDAM Recent Publications in Operations Research
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2026Ellemund, G., Hübner, T., Lété, Q., Bracco, S., Fresia, M., & Hug, G. (2026). Bidding Aggregated Flexibility in European Electricity Auctions. IEEE Transactions on Energy Markets, Policy and Regulation, 4(3), 461-471. https://doi.org/10.1109/tempr.2026.3714683 (Original work published 2026)
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Saidi, R., Deleplanque, S., Creemers, S., Fernando Pérez, L. A., Hibti, M., & Zouari, B. (2026). Quantum Annealing Approaches for Minimal Cut Set Identification in Fault Trees. Reliability Engineering & System Safety. Accepted/in-press. https://doi.org/10.1016/j.ress.2026.112907 (Original work published 2026)
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De Moor, B. J., Boute, R. N., Creemers, S., & Gijsbrechts, J. (2026). Discount replenishment opportunities with limited capacity : optimal policy and pricing dynamics. European Journal of Operational Research. Accepted/in-press. https://doi.org/10.1016/j.ejor.2026.04.016 (Original work published 2026)
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Wang, X., Zhou, G., Leus, R., & Creemers, S. (2026). A parallel computing approach for scheduling Markovian project networks to maximize the expected net present value. European Journal of Operational Research. Accepted/in-press. https://doi.org/10.1016/j.ejor.2026.04.012 (Original work published 2026)
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Liu, S., Van den Broeke, M., Mlinar, T., & Creemers, S. (2026). Optimal product recovery strategies under competition. European Journal of Operational Research. Accepted/in-press. https://doi.org/10.1016/j.ejor.2026.03.005 (Original work published 2026)
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Catanzaro, D., Pesenti, R., & Pisanu, F. (2026). A note on the approximability of the balanced minimum evolution problem. Operations Research Letters, 67, 107438. https://doi.org/10.1016/j.orl.2026.107438 (Original work published 2026)
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Lété, Q., Smeers, Y., & Papavasiliou, A. (2026). Power Generation Investment Under Zonal Electricity Pricing with Market-Based Re-dispatch. The Energy Journal, 47(1), 131-164. https://doi.org/10.1177/01956574251367717 (Original work published 2026)
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Lancini, E., & Pisanu, F. (2026). A horizon tour of box-total dual integrality. Computer Science Review, 61, 100928. https://doi.org/10.1016/j.cosrev.2026.100928 (Original work published 2026)
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2025Pérez Armas, L. F., Deleplanque, S., Aggoune, R., & Creemers, S. (2025). A Hybrid Column Generation-Based Heuristic for Solving the Parallel Machine Scheduling Problem with Sequence-Dependent Setup Times. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. Accepted/in-press. (Original work published 2025)
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Stevens, N., O’Neill, R., & Papavasiliou, A. (2025). Average incremental cost pricing in electricity auctions. Energy Economics, 153, 109047. https://doi.org/10.1016/j.eneco.2025.109047 (Original work published 2025)
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Creemers, S., & Pérez, L. F. (2025). Discrete optimization: A quantum revolution? European Journal of Operational Research, 323(2), 378-408. https://doi.org/10.1016/j.ejor.2024.12.016 (Original work published 2025)
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Creemers, S., & Pérez Armas, L. F. (2025). Limitations of Quantum Counting, Nested Quantum Search, and Amplitude Amplification and Their Potential to Solve Discrete Optimization Problems. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. Accepted/in-press. (Original work published 2025)
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Deleplanque, S., Pérez Armas, L. F., & Creemers, S. (2025). solQHealer: Quantum Procedures for Rendering Infeasible Solutions Feasible: A Proof of Concept with the Maximum Independent Set Problem and 3-SAT. Journal of Heuristics, 31, 30. https://doi.org/10.1007/s10732-025-09564-3 (Original work published 2025)
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Goncalves de Souza, E. A., Mlinar, T., Van den Broeke, M., & Creemers, S. (2025). Dynamic Programming in Inventory Management: A Review. Computers & Operations Research, 183, 107164. https://doi.org/10.1016/j.cor.2025.107164 (Original work published 2025)
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Creemers, S. (2025). Speeding up Grover’s algorithm. European Journal of Operational Research, 326(1), 13-27. https://doi.org/10.1016/j.ejor.2025.02.034 (Original work published 2025)
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2024Pérez Armas, L. F., Creemers, S., & Deleplanque, S. (2024). Solving the resource constrained project scheduling problem with quantum annealing. Scientific Reports, 14, 16784. https://doi.org/10.1038/s41598-024-67168-6 (Original work published 2024)
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Avila Girardot, D., Papavasiliou, A., Junca, M., & Exizidis, L. (2024). Applying High-Performance Computing to the European Resource Adequacy Assessment. IEEE Transactions on Power Systems, 39(2), 3785-3797. https://doi.org/10.1109/TPWRS.2023.3304717 (Original work published 2024)
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Dehaybe, H., Catanzaro, D., & Chevalier, P. (2024). Deep Reinforcement Learning for Inventory Optimization with Non-Stationary Uncertain Demand. European Journal of Operational Research. Published. https://doi.org/10.1016/j.ejor.2023.10.007 (Original work published 2024)
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Avila Girardot, D., Papavasiliou, A., & Nils Lohndorf. (2024). Batch Learning SDDP for Long-Term Hydrothermal Planning. IEEE Transactions on Power Systems, 39(1), 614-627. https://doi.org/10.1109/TPWRS.2023.3246724 (Original work published 2024)
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Stevens, N., Papavasiliou, A., & Smeers, Y. (2024). On some advantages of convex hull pricing for the European electricity auction. Energy Economics. Accepted/in-press. https://doi.org/10.1016/j.eneco.2024.107542 (Original work published 2024)
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Nesterov, Y. (2024). Primal Subgradient Methods with Predefined Step Sizes. Journal of Optimization Theory and Applications. Accepted/in-press. https://doi.org/10.1007/s10957-024-02456-9 (Original work published 2024)
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Cho, J., & Papavasiliou, A. (2024). Exact Mixed-Integer Programming Approach for Chance-Constrained Multi-Area Reserve Sizing. IEEE Transactions on Power Systems, 39(2), 3310-3323. https://doi.org/10.1109/TPWRS.2023.3279692 (Original work published 2024)
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Stevens, N., Smeers, Y., & Papavasiliou, A. (2024). Indivisibilities in investment and the role of a capacity market. Journal of Regulatory Economics. Accepted/in-press. https://doi.org/10.1007/s11149-024-09473-6 (Original work published 2024)
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Cartuyvels, J., Bertrand, G., & Papavasiliou, A. (2024). Market Equilibria in Cross-Border Balancing Platforms. IEEE Transactions on Energy Markets, Policy and Regulation. Accepted/in-press. https://doi.org/10.1109/TEMPR.2024.3360475 (Original work published 2024)
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2023Catanzaro, D., Frohn, M., Gascuel, O., & Pesenti, R. (2023). A Massively Parallel Branch-&-Bound Algorithm for the Balanced Minimum Evolution Problem. Computers & Operations Research, 158, 106308. https://doi.org/10.1016/j.cor.2023.106308 (Original work published 2023)
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Cartuyvels, J., & Papavasiliou, A. (2023). Calibration of Operating Reserve Demand Curves Using a System Operation Simulator. IEEE Transactions on Power Systems, 38(4), 3043-3055. https://doi.org/10.1109/TPWRS.2022.3200125 (Original work published 2023)
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Gasparin, A., Camerota Verdù, F. J., Catanzaro, D., & Castelli, L. (2023). An evolution strategy approach for the balanced minimum evolution problem. Bioinformatics, 39(11 (2023)), btad660. https://doi.org/10.1093/bioinformatics/btad660 (Original work published 2023)
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Aardal, K., Scavuzzo, L., & Wolsey, L. (2023). A study of lattice reformulations for integer programming. Operations Research Letters, 51(4), 401-407. https://doi.org/10.1016/j.orl.2023.05.001 (Original work published 2023)
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Leplat, V., Nesterov, Y., Gillis, N., & Glineur, F. (2023). Conic optimization-based algorithms for nonnegative matrix factorization. Optimization Methods and Software, 38(4), 837-859. https://doi.org/10.1080/10556788.2023.2189714 (Original work published 2023)
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Nesterov, Y. (2023). Inexact accelerated high-order proximal-point methods. Mathematical Programming, 197(1), 1-26. https://doi.org/10.1007/s10107-021-01727-x (Original work published 2023)
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Doikov, N., & Nesterov, Y. (2023). Gradient regularization of Newton method with Bregman distances. Mathematical Programming. Accepted/in-press. https://doi.org/10.1007/s10107-023-01943-7 (Original work published 2023)
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Doikov, N., & Nesterov, Y. (2023). Affine-invariant contracting-point methods for Convex Optimization. Mathematical Programming, 198(1), 115-137. https://doi.org/10.1007/s10107-021-01761-9 (Original work published 2023)
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Rodomanov, A., & Nesterov, Y. (2023). Subgradient ellipsoid method for nonsmooth convex problems. Mathematical Programming, 199, 305-341. https://doi.org/10.1007/s10107-022-01833-4 (Original work published 2023)
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Roald, L. A., Pozo, D., Papavasiliou, A., Molzahn, D. K., Kazempour, J., & Conejo, A. (2023). Power systems optimization under uncertainty: a review of methods and applications. Electric Power Systems Research, 214(part A), 108725. https://doi.org/10.1016/j.epsr.2022.108725 (Original work published 2023)
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Cho, J., & Papavasiliou, A. (2023). Pricing Under Uncertainty in Multi-Interval Real-Time Markets. Operations research, 71(6), 1928-1942. https://doi.org/10.1287/opre.2022.2314 (Original work published 2023)
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Papavasiliou, A., Cartuyvels, J., Bertrand, G., & Marien, A. (2023). Implementation of scarcity pricing without co-optimization in European energy-only balancing markets. Utilities Policy : strategy, performance, regulation, 81, 101488. https://doi.org/10.1016/j.jup.2022.101488 (Original work published 2023)
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Mezghani, I., Stevens, N., Papavasiliou, A., & Chatzigiannis, D. I. (2023). Hierarchical Coordination of Transmission and Distribution System Operations in European Balancing Markets. IEEE Transactions on Power Systems, 38(5), 3990-4002. https://doi.org/10.1109/TPWRS.2022.3208968 (Original work published 2023)
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Catanzaro, D., Pesenti, R., & Ronco, R. (2023). Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey. European Journal of Operational Research, 308(3), 1091-1109. https://doi.org/10.1016/j.ejor.2023.01.029 (Original work published 2023)
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Nesterov, Y. (2023). Set-Limited Functions and Polynomial-Time Interior-Point Methods. Journal of Optimization Theory and Applications. Accepted/in-press. https://doi.org/10.1007/s10957-023-02163-x (Original work published 2023)
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Nunes Grapiglia, G., & Nesterov, Y. (2023). Adaptive Third-Order Methods for Composite Convex Optimization. SIAM Journal on Optimization, 33(3), 1855-1883. https://doi.org/10.1137/22M1480872 (Original work published 2023)
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2022Catanzaro, D., Frohn, M., Gascuel, O., & Pesenti, R. (2022). A tutorial on the balanced minimum evolution problem. European Journal of Operational Research, 300(1), 1-19. https://doi.org/10.1016/j.ejor.2021.08.004 (Original work published 2022)
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Gérard, C., & Papavasiliou, A. (2022). The role of service charges in the application of priority service pricing. Energy Systems, 13, 1099-1128. https://doi.org/10.1007/s12667-021-00471-7 (Original work published 2022)
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Gérard, C., Avila Girardot, D., Mou, Y., Papavasiliou, A., & Chevalier, P. (2022). Comparison of Priority Service with Multilevel Demand Subscription. IEEE Transactions on Smart Grid, 13(3), 2026-2037. https://doi.org/10.1109/TSG.2022.3153186 (Original work published 2022)
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Stevens, N., & Papavasiliou, A. (2022). Application of the Level Method for Computing Locational Convex Hull Prices. IEEE Transactions on Power Systems, 37(5), 3958-3968. https://doi.org/10.1109/TPWRS.2022.3142567 (Original work published 2022)
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Herrera Rodriguez, M., Agrell, P. J., Manrique-de-Lara-Peñate, C., & Trujillo, L. (2022). A multi-criteria fleet deployment model for cost, time and environmental impact. International Journal of Production Economics, 243. https://doi.org/10.1016/j.ijpe.2021.108325 (Original work published 2022)
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Rodomanov, A., & Nesterov, Y. (2022). Rates of superlinear convergence for classical quasi-Newton methods. Mathematical Programming, 194(1-2), 159-190. https://doi.org/10.1007/s10107-021-01622-5 (Original work published 2022)
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Agra, A., Christiansen, M., & Wolsey, L. (2022). Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries. European Journal of Operational Research, 297(1), 164-179. https://doi.org/10.1016/j.ejor.2021.04.027 (Original work published 2022)
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Guzman, C., Riffo, J., Telha, C., & Van Vyve, M. (2022). A Sequential Stackelberg Game for Dynamic Inspection Problems. European Journal of Operational Research. Accepted/in-press. https://doi.org/10.1016/j.ejor.2021.12.015 (Original work published 2022)
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Kilani, M., Diop, N., & De Wolf, D. (2022). A Multimodal Transport Model to Evaluate Transport Policies in the North of France. Sustainability, 14(3), 1535. https://doi.org/10.3390/su14031535 (Original work published 2022)
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Catanzaro, D., Coniglio, S., & Furini, F. (2022). On the exact separation of cover inequalities of maximum-depth. Optimization Letters, 16(2), 449-469. https://doi.org/10.1007/s11590-021-01741-0 (Original work published 2022)
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Van Hoorebeeck, L., Absil, P.-A., & Papavasiliou, A. (2022). Solving non-convex economic dispatch with valve-point effects and losses with guaranteed accuracy. International Journal of Electrical Power & Energy Systems, 134, 107143. https://doi.org/10.1016/j.ijepes.2021.107143 (Original work published 2022)
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Smeers, Y., Martin, S., & Aguado, J. A. (2022). Co-optimization of energy and reserve with Incentives to Wind Generation. IEEE Transactions on Power Systems, 37(3), 2063-2074. https://doi.org/10.1109/TPWRS.2021.3114376 (Original work published 2022)
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Nunes Grapiglia, G., & Nesterov, Y. (2022). Tensor methods for finding approximate stationary points of convex functions. Optimization Methods and Software, 37(2), 605-638. https://doi.org/10.1080/10556788.2020.1818082 (Original work published 2022)
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Papavasiliou, A., Bouso, A., Apelfröjd, S., Wik, E., Gueuning, T., & Langer, Y. (2022). Multi-Area Reserve Dimensioning using Chance-Constrained Optimization. IEEE Transactions on Power Systems, 37(5), 3982-3994. https://doi.org/10.1109/TPWRS.2021.3133102 (Original work published 2022)
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Nesterov, Y. (2022). Inexact basic tensor methods for some classes of convex optimization problems. Optimization Methods and Software, 37(3), 878-906. https://doi.org/10.1080/10556788.2020.1854252 (Original work published 2022)
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Müller, D., Nesterov, Y., & Shikhman, V. (2022). Discrete Choice Prox-Functions on the Simplex. Mathematics of operations research, 47(1), 485-507. https://doi.org/10.1287/moor.2021.1136 (Original work published 2022)
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Nesterov, Y., & Florea, M. (2022). Gradient methods with memory. Optimization Methods and Software, 37(3), 936-953. https://doi.org/10.1080/10556788.2020.1858831 (Original work published 2022)
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Doikov, N., & Nesterov, Y. (2022). Local convergence of tensor methods. Mathematical Programming, 193(1), 315-336. https://doi.org/10.1007/s10107-020-01606-x (Original work published 2022)
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Anikin, A., Gasnikov, A., Gornov, A., Kamzolov, D., Maximov, Y., & Nesterov, Y. (2022). Efficient numerical methods to solve sparse linear equations with application to PageRank. Optimization Methods and Software, 37(3), 907-935. https://doi.org/10.1080/10556788.2020.1858297 (Original work published 2022)
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Doikov, N., & Nesterov, Y. (2022). High-Order Optimization Methods for Fully Composite Problems. SIAM Journal on Optimization, 32(3), 2402-2427. https://doi.org/10.1137/21m1410063 (Original work published 2022)
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Lété, Q., Smeers, Y., & Papavasiliou, A. (2022). An analysis of zonal electricity pricing from a long-term perspective. Energy Economics, 107, 105853. https://doi.org/10.1016/j.eneco.2022.105853 (Original work published 2022)
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2022Madani, M., & Papavasiliou, A. (2022). A note on a revenue adequate pricing scheme that minimizes make-whole payments. In Institute of Electrical and Electronics Engineers (IEEE) (ed.), 2022 18th International Conference on the European Energy Market (EEM). IEEE Xplore. https://doi.org/10.1109/EEM54602.2022.9920995
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Papavasiliou, A., Doorman, G., Bjørndal, M., Langer, Y., Leclercq, G., & Crucifix, P. (2022). Interconnection of Norway to European Balancing Platforms Using Hierarchical Balancing. In Institute of Electrical and Electronics Engineers (IEEE) (ed.), 2022 18th International Conference on the European Energy Market (EEM). IEEE Xplore. https://doi.org/10.1109/EEM54602.2022.9921153
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