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ORCIDMaryam Karimi Mamaghan
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2020 – today
- 2024
[i1]Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert, Daniele Vigo, Amir Pirayesh:
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems. CoRR abs/2408.14864 (2024)- 2023
- [j6]Maryam Karimi Mamaghan
, Mehrdad Mohammadi, Bastien Pasdeloup, Patrick Meyer:
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem. Eur. J. Oper. Res. 304(3): 1296-1330 (2023) - 2022
- [b1]Maryam Karimi Mamaghan:
Hybridizing metaheuristics with machine learning for combinatorial optimization : a taxonomy and learning to select operators. (Hybridation des métaheuristiques avec l'apprentissage automatique pour l'optimisation combinatoire : une taxonomie et apprendre à sélectionner des opérateurs). IMT Atlantique Bretagne Pays de la Loire, Brest, France, 2022 - [j5]Maryam Karimi Mamaghan, Mehrdad Mohammadi, Patrick Meyer, Amir Mohammad Karimi-Mamaghan, El-Ghazali Talbi:
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art. Eur. J. Oper. Res. 296(2): 393-422 (2022) - 2021
- [j4]Milad Dehghan, Seyed Reza Hejazi, Maryam Karimi Mamaghan, Mehrdad Mohammadi, Amir Pirayesh:
Capacitated location routing problem with simultaneous pickup and delivery under the risk of disruption. RAIRO Oper. Res. 55(3): 1371-1399 (2021) - [c1]Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer:
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. OLA 2021: 45-61 - 2020
- [j3]Mehrdad Mohammadi, Stéphane Dauzère-Pérès, Claude Yugma, Maryam Karimi Mamaghan:
A queue-based aggregation approach for performance evaluation of a production system with an AMHS. Comput. Oper. Res. 115: 104838 (2020) - [j2]Maryam Karimi Mamaghan, Mehrdad Mohammadi, Payman Jula, Amir Pirayesh, Hadi Ahmadi:
A learning-based metaheuristic for a multi-objective agile inspection planning model under uncertainty. Eur. J. Oper. Res. 285(2): 513-537 (2020) - [j1]Ata Allah Taleizadeh, Maryam Karimi Mamaghan, Seyed Ali Torabi:
A possibilistic closed-loop supply chain: pricing, advertising and remanufacturing optimization. Neural Comput. Appl. 32(4): 1195-1215 (2020)
Coauthor Index
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