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Hooman Askari-Nasab
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2020 – today
- 2025
- [j7]Roberto Noriega, Yashar Pourrahimian, Hooman Askari-Nasab:
Deep Reinforcement Learning based real-time open-pit mining truck dispatching system. Comput. Oper. Res. 173: 106815 (2025) - [j6]Alireza Kamrani
, Yashar Pourrahimian
Semi-mobile in-pit crushing and conveying vs. truck-shovel systems: Long-term scheduling with road and conveyor networks integration. Expert Syst. Appl. 268: 126122 (2025) - [j5]Mohammadreza Kazemi Ashtiani, Ali Moradi Afrapoli, John Doucette, Hooman Askari-Nasab:
A Stochastic Energy-Efficient Robust Simulation-Based Truck Dispatching Optimization for Simultaneous GHG Mitigation and Operational Excellence in Open-Pit Mines. Simul. Model. Pract. Theory 138: 103026 (2025) - 2023
- [j4]Hongshuo Gong, Ali Moradi Afrapoli
Integrated simulation and optimization framework for quantitative analysis of near-face stockpile mining. Simul. Model. Pract. Theory 128: 102794 (2023) - 2020
- [j3]Enrique Jélvez, Nelson Morales, Hooman Askari-Nasab:
A new model for automated pushback selection. Comput. Oper. Res. 115: 104456 (2020)
2010 – 2019
- 2019
- [j2]Ali Moradi Afrapoli
A multiple objective transportation problem approach to dynamic truck dispatching in surface mines. Eur. J. Oper. Res. 276(1): 331-342 (2019) - 2014
- [j1]Mohammad Mahdi Badiozamani, Hooman Askari-Nasab:
Integration of reclamation and tailings management in oil sands surface mine planning. Environ. Model. Softw. 51: 45-58 (2014)
Coauthor Index
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