An improved MIP-based approach for a multi-skill workforce scheduling problem M Fırat, CAJ Hurkens Journal of Scheduling 15 (3), 363-380, 2012 | 180 | 2012 |
Analysis of the dial-a-ride problem of Hunsaker and Savelsbergh M Firat, GJ Woeginger Operations Research Letters 39 (1), 32-35, 2011 | 53 | 2011 |
A parametric fuzzy logic approach to dynamic part routing under full routing flexibility Ü Bilge, M Fırat, E Albey Computers & Industrial Engineering 55 (1), 15-33, 2008 | 44 | 2008 |
Column generation based heuristic for learning classification trees M Firat, G Crognier, AF Gabor, CAJ Hurkens, Y Zhang Computers & Operations Research 116, 104866, 2020 | 30 | 2020 |
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning RR Afshar, Y Zhang, M Firat, U Kaymak arXiv preprint arXiv:2004.12117, 2020 | 29 | 2020 |
A Branch-and-Price algorithm for stable workforce assignments with hierarchical skills M Fırat, D Briskorn, A Laugier European Journal of Operational Research 251 (2), 676-685, 2016 | 29 | 2016 |
Patents and knowledge diffusion: The impact of machine translation B Büttner, M Firat, E Raiteri Research Policy 51 (10), 104584, 2022 | 17 | 2022 |
Stable multi-skill workforce assignments M Fırat, CAJ Hurkens, A Laugier Annals of Operations Research 213 (1), 95-114, 2014 | 17 | 2014 |
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. RR Afshar, Y Zhang, M Firat, U Kaymak BNAIC/BENELEARN, 2019 | 15 | 2019 |
A decision support method to increase the revenue of ad publishers in waterfall strategy RR Afshar, Y Zhang, M Firat, U Kavmak 2019 IEEE Conference on Computational Intelligence for Financial Engineering …, 2019 | 14 | 2019 |
Modeling uncertainty in declarative artifact-centric process models R Eshuis, M Firat International Conference on Business Process Management, 281-293, 2018 | 10 | 2018 |
Optimizing the workload of production units of a make-to-order manufacturing system M Firat, J De Meyere, T Martagan, G., L Genga Computers & Operations Research 138 (2), 105530, 2022 | 9 | 2022 |
Screening for combination cancer therapies with dynamic fuzzy modeling and multi-objective optimization S Spolaor, M Scheve, M Firat, P Cazzaniga, D Besozzi, MS Nobile Frontiers in genetics 12, 617935, 2021 | 6 | 2021 |
Modeling uncertainty in declarative artifact-centric process models using fuzzy logic R Eshuis, M Firat, U Kaymak Information Sciences 579, 845-862, 2021 | 5 | 2021 |
Human performance-aware scheduling and routing of a multi-skilled workforce ML van Eck, M Firat, WPM Nuijten, N Sidorova, WMP van der Aalst Complex Systems Informatics and Modeling Quarterly, 1-21, 2017 | 4 | 2017 |
Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding RR Afshar, Y Zhang, M Firat, U Kaymak International Conference on Agents and Artificial Intelligence, 16-36, 2019 | 3 | 2019 |
Solving routing problems by exploiting the dual of a master LP formulation M Fırat, N Dellaert, W Nuijten | 1 | 2016 |
Design and optimization of a fuzzy-neural hybrid controller for an artificial muscle robotic arm using genetic algorithms E Erdemir, M Özkan, K Kawamura, DM Wilkes, M Firat, A Polat Humanoid Robots (Humanoids), 2010 10th IEEE-RAS International Conference on …, 2010 | 1 | 2010 |
Branch-and-price approach to the vehicle routing problem with hard time windows and stochastic travel times LA Fasting, M Firat, MAA Boon, J Twist Master’s thesis, Eindhoven University of Technology, 2014 | | 2014 |
Optimization of lifetime in sensor networks N Bansal, D Bourne, M Firat, M de Graaf, S Kapodistria, K Kumar, ... | | 2012 |