Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art M Karimi-Mamaghan, M Mohammadi, P Meyer, AM Karimi-Mamaghan, ... European Journal of Operational Research 296 (2), 393-422, 2022 | 372 | 2022 |
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem M Karimi-Mamaghan, M Mohammadi, B Pasdeloup, P Meyer European Journal of Operational Research 304 (3), 1296-1330, 2023 | 79 | 2023 |
A possibilistic closed-loop supply chain: pricing, advertising and remanufacturing optimization AA Taleizadeh, M Karimi Mamaghan, SA Torabi Neural Computing and Applications 32, 1195-1215, 2020 | 61 | 2020 |
Hub-and-spoke network design under congestion: A learning based metaheuristic M Karimi-Mamaghan, M Mohammadi, A Pirayesh, AM Karimi-Mamaghan, ... Transportation research part e: logistics and transportation review 142, 102069, 2020 | 58 | 2020 |
A learning-based metaheuristic for a multi-objective agile inspection planning model under uncertainty M Karimi-Mamaghan, M Mohammadi, P Jula, A Pirayesh, H Ahmadi European Journal of Operational Research 285 (2), 513-537, 2020 | 37 | 2020 |
A queue-based aggregation approach for performance evaluation of a production system with an AMHS M Mohammadi, S Dauzère-Pérès, C Yugma, M Karimi-Mamaghan Computers & Operations Research 115, 104838, 2020 | 26 | 2020 |
Capacitated location routing problem with simultaneous pickup and delivery under the risk of disruption M Dehghan, SR Hejazi, M Karimi-Mamaghan, M Mohammadi, A Pirayesh RAIRO-Operations Research 55 (3), 1371-1399, 2021 | 14 | 2021 |
A learning-based iterated local search algorithm for solving the traveling salesman problem M Karimi-Mamaghan, B Pasdeloup, M Mohammadi, P Meyer International conference on optimization and learning, 45-61, 2021 | 8 | 2021 |
Combinatorial optimization of petrochemical plants by asset integrity management indicators M Sheikhalishahi, M Karimi, R Raghebi Process Safety and Environmental Protection 127, 321-328, 2019 | 5 | 2019 |
An online learning-based metaheuristic for solving combinatorial optimization problems M Karimi-Mamaghan, M Mohammadi, B Pasdeloup, R Billot, P Meyer ROADEF 2020: 21ème Congrès Annuel de la Société Française de Recherche …, 2020 | 3 | 2020 |
Heterogeneous joint vaccine allocation and quarantine restriction planning under uncertainty: The COVID-19 pandemic M Mohammadi, E Asgari, MK Mamaghan, A Pirayesh, T van Woensel Omega, 103133, 2024 | 2 | 2024 |
Hybridizing metaheuristics with machine learning for combinatorial optimization: a taxonomy and learning to select operators MK Mamaghan Ecole nationale supérieure Mines-Télécom Atlantique, 2022 | 1 | 2022 |
Autoencoder-based generation of individuals in population-based metaheuristics B Pasdeloup, M Karimi-Mamaghan, M Mohammadi, P Meyer ROADEF 2020: 21ème Congrès Annuel de la Société Française de Recherche …, 2020 | 1 | 2020 |
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems MK Mamaghan, M Mohammadi, W Dullaert, D Vigo, A Pirayesh arXiv preprint arXiv:2408.14864, 2024 | | 2024 |
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems M Karimi Mamaghan, M Mohammadi, W Dullaert, D Vigo, A Pirayesh arXiv e-prints, arXiv: 2408.14864, 2024 | | 2024 |
A reinforcement learning-based operator selection in iterated local search for solving scheduling problems M Karimi-Mamaghan, P Meyer, M Mohammadi, B Pasdeloup EURO 2021: 31st European Conference on Operational Research, 2021 | | 2021 |
Learning to select operators in meta-heuristics for solving combinatorial optimization problems: An application to flowshop scheduling problem M Karimi-Mamaghan, M Mohammadi, B Pasdeloup, P Meyer | | |