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Wim van Ackooij
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- affiliation: OSIRIS, EDF R&D, France
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2020 – today
- 2024
- [j39]Wim van Ackooij, Nadia Oudjane:
On supply and network investment in power systems. 4OR 22(4): 465-481 (2024) - [j38]Yassine Laguel, Jérôme Malick, Wim van Ackooij:
Chance-constrained programs with convex underlying functions: a bilevel convex optimization perspective. Comput. Optim. Appl. 88(3): 819-847 (2024) - [j37]Quentin Jacquet, Wim van Ackooij, Clémence Alasseur, Stéphane Gaubert:
Quadratic regularization of bilevel pricing problems and application to electricity retail markets. Eur. J. Oper. Res. 313(3): 841-857 (2024) - [j36]Wim van Ackooij, Felipe Atenas, Claudia A. Sagastizábal:
Weak Convexity and Approximate Subdifferentials. J. Optim. Theory Appl. 203(2): 1686-1709 (2024) - [j35]Wim van Ackooij, Pedro Pérez-Aros, Claudia Soto, Emilio Vilches:
Inner Moreau Envelope of Nonsmooth Conic Chance-Constrained Optimization Problems. Math. Oper. Res. 49(3): 1419-1451 (2024) - 2023
- [c2]Quentin Jacquet, Wim van Ackooij, Clémence Alasseur, Stéphane Gaubert:
A Quantization Procedure for Nonlinear Pricing with an Application to Electricity Markets. CDC 2023: 2270-2277 - 2022
- [j34]Wim van Ackooij, Welington de Oliveira:
Addendum to the paper 'Nonsmooth DC-constrained optimization: constraint qualification and minimizing methodologies'. Optim. Methods Softw. 37(6): 2241-2250 (2022) - [c1]Quentin Jacquet, Wim van Ackooij, Clémence Alasseur, Stéphane Gaubert:
Ergodic control of a heterogeneous population and application to electricity pricing. CDC 2022: 3617-3624 - 2021
- [j33]Wim van Ackooij, Sophie Demassey, Paul Javal, Hugo Morais, Welington de Oliveira, Bhargav Swaminathan:
A bundle method for nonsmooth DC programming with application to chance-constrained problems. Comput. Optim. Appl. 78(2): 451-490 (2021) - [j32]Roberto Mínguez, Wim van Ackooij, Raquel García-Bertrand:
Constraint generation for risk averse two-stage stochastic programs. Eur. J. Oper. Res. 288(1): 194-206 (2021) - [j31]Wim van Ackooij, Claudia D'Ambrosio, Dimitri Thomopulos, Renan Spencer Trindade:
Decomposition and shortest path problem formulation for solving the hydro unit commitment and scheduling in a hydro valley. Eur. J. Oper. Res. 291(3): 935-943 (2021) - [j30]Wim van Ackooij, Pedro Pérez-Aros:
Gradient formulae for probability functions depending on a heterogenous family of constraints. Open J. Math. Optim. 2: 1-29 (2021) - 2020
- [j29]Wim van Ackooij, Debora Daniela Escobar, Martin Glanzer, Georg Ch. Pflug:
Distributionally robust optimization with multiple time scales: valuation of a thermal power plant. Comput. Manag. Sci. 17(3): 357-385 (2020) - [j28]Wim van Ackooij, Debora Daniela Escobar, Martin Glanzer, Georg Ch. Pflug:
Correction to: Distributionally robust optimization with multiple time scales: valuation of a thermal power plant. Comput. Manag. Sci. 17(3): 387 (2020) - [j27]Wim van Ackooij, Xavier Warin:
On conditional cuts for stochastic dual dynamic programming. EURO J. Comput. Optim. 8(2): 173-199 (2020) - [j26]Wim van Ackooij, Pedro Pérez-Aros:
Gradient Formulae for Nonlinear Probabilistic Constraints with Non-convex Quadratic Forms. J. Optim. Theory Appl. 185(1): 239-269 (2020) - [j25]Wim van Ackooij, Welington de Oliveira:
Some brief observations in minimizing the sum of locally Lipschitzian functions. Optim. Lett. 14(3): 509-520 (2020)
2010 – 2019
- 2019
- [j24]Wim van Ackooij, Welington de Oliveira, Yongjia Song:
On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems. Comput. Optim. Appl. 74(1): 1-42 (2019) - [j23]Wim van Ackooij, Welington de Oliveira:
Nonsmooth and Nonconvex Optimization via Approximate Difference-of-Convex Decompositions. J. Optim. Theory Appl. 182(1): 49-80 (2019) - [j22]Wim van Ackooij, Jérôme Malick:
Eventual convexity of probability constraints with elliptical distributions. Math. Program. 175(1-2): 1-27 (2019) - [j21]Wim van Ackooij, Welington de Oliveira:
Non-smooth DC-constrained optimization: constraint qualification and minimizing methodologies. Optim. Methods Softw. 34(4): 890-920 (2019) - [j20]Wim van Ackooij, Pedro Pérez-Aros:
Generalized Differentiation of Probability Functions Acting on an Infinite System of Constraints. SIAM J. Optim. 29(3): 2179-2210 (2019) - 2018
- [j19]Wim van Ackooij, I. Danti Lopez, Antonio Frangioni, Fabrizio Lacalandra, Milad Tahanan:
Large-scale unit commitment under uncertainty: an updated literature survey. Ann. Oper. Res. 271(1): 11-85 (2018) - [j18]Wim van Ackooij, Claudia D'Ambrosio, Leo Liberti, Raouia Taktak, Dimitri Thomopulos, Sonia Toubaline:
Shortest Path Problem variants for the Hydro Unit Commitment Problem. Electron. Notes Discret. Math. 69: 309-316 (2018) - [j17]Wim van Ackooij, Jérôme De Boeck, Boris Detienne, Stefania Pan, Michael Poss:
Optimizing power generation in the presence of micro-grids. Eur. J. Oper. Res. 271(2): 450-461 (2018) - [j16]Wim van Ackooij, Welington de Oliveira, Yongjia Song:
Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse. INFORMS J. Comput. 30(1): 57-70 (2018) - [j15]Wim van Ackooij, Antonio Frangioni:
Incremental Bundle Methods using Upper Models. SIAM J. Optim. 28(1): 379-410 (2018) - 2017
- [j14]Wim van Ackooij, Nicolas Lebbe, Jérôme Malick:
Regularized decomposition of large scale block-structured robust optimization problems. Comput. Manag. Sci. 14(3): 393-421 (2017) - [j13]Wim van Ackooij, V. Berge, Welington de Oliveira, Claudia A. Sagastizábal:
Probabilistic optimization via approximate p-efficient points and bundle methods. Comput. Oper. Res. 77: 177-193 (2017) - [j12]Wim van Ackooij:
A comparison of four approaches from stochastic programming for large-scale unit-commitment. EURO J. Comput. Optim. 5(1-2): 119-147 (2017) - [j11]Wim van Ackooij, René Henrion:
(Sub-)Gradient Formulae for Probability Functions of Random Inequality Systems under Gaussian Distribution. SIAM/ASA J. Uncertain. Quantification 5(1): 63-87 (2017) - [j10]Wim van Ackooij, Jérôme Malick:
Second-order differentiability of probability functions. Optim. Lett. 11(1): 179-194 (2017) - 2016
- [j9]Wim van Ackooij, Jérôme Malick:
Decomposition algorithm for large-scale two-stage unit-commitment. Ann. Oper. Res. 238(1-2): 587-613 (2016) - [j8]Wim van Ackooij, Antonio Frangioni, Welington de Oliveira:
Inexact stabilized Benders' decomposition approaches with application to chance-constrained problems with finite support. Comput. Optim. Appl. 65(3): 637-669 (2016) - 2015
- [j7]Milad Tahanan, Wim van Ackooij, Antonio Frangioni, Fabrizio Lacalandra:
Large-scale Unit Commitment under uncertainty. 4OR 13(2): 115-171 (2015) - 2014
- [j6]Wim van Ackooij, Welington de Oliveira:
Level bundle methods for constrained convex optimization with various oracles. Comput. Optim. Appl. 57(3): 555-597 (2014) - [j5]Wim van Ackooij:
Decomposition approaches for block-structured chance-constrained programs with application to hydro-thermal unit commitment. Math. Methods Oper. Res. 80(3): 227-253 (2014) - [j4]Wim van Ackooij, Claudia A. Sagastizábal:
Constrained Bundle Methods for Upper Inexact Oracles with Application to Joint Chance Constrained Energy Problems. SIAM J. Optim. 24(2): 733-765 (2014) - [j3]Wim van Ackooij, René Henrion:
Gradient Formulae for Nonlinear Probabilistic Constraints with Gaussian and Gaussian-Like Distributions. SIAM J. Optim. 24(4): 1864-1889 (2014) - 2011
- [j2]Wim van Ackooij, René Henrion, Andris Möller, Riadh Zorgati:
On joint probabilistic constraints with Gaussian coefficient matrix. Oper. Res. Lett. 39(2): 99-102 (2011) - 2010
- [j1]Wim van Ackooij, René Henrion, Andris Möller, Riadh Zorgati:
On probabilistic constraints induced by rectangular sets and multivariate normal distributions. Math. Methods Oper. Res. 71(3): 535-549 (2010)
Coauthor Index
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