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ORCIDMohammad Dehghanimohammadabadi
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2020 – today
- 2023
[j6]Mohammad Dehghanimohammadabadi
, Mandana Rezaeiahari, Javad Seif:
Multi-Objective Patient Appointment Scheduling Framework (MO-PASS): a data-table input simulation-optimization approach. Simul. 99(4): 363-383 (2023)- 2022
- [j5]Nihan Kabadayi, Mohammad Dehghanimohammadabadi:
Multi-objective supplier selection process: a simulation-optimization framework integrated with MCDM. Ann. Oper. Res. 319(2): 1607-1629 (2022) - [c12]Mohammad Dehghanimohammadabadi:
Data-Driven Simulation-Optimization (DSO): An Efficient Approach to Optimize Simulation Models with Databases. OLA 2022: 117-132 - [c11]Samaneh Maghoulan, Hande Musdal Ondemir, Mohammad Dehghanimohammadabadi:
COVID-19 Supply Chain Planning: A Simulation-Optimization Approach. WSC 2022: 533-544 - [c10]Jonas F. Leon, Paolo Marone, Mohammad Peyman, Yuda Li, Laura Calvet, Mohammad Dehghanimohammadabadi, Angel A. Juan:
A Tutorial on Combining Flexsim with Python for Developing Discrete-Event Simheuristics. WSC 2022: 1386-1400 - [c9]Sahil Belsare, Emily Diaz Badilla, Mohammad Dehghanimohammadabadi:
Reinforcement Learning with Discrete Event Simulation: The Premise, Reality, and Promise. WSC 2022: 2724-2735 - [c8]Ashwin Devanga, Emily Diaz Badilla, Mohammad Dehghanimohammadabadi:
Applied Reinforcement Learning for Decision Making in Industrial Simulation Environments. WSC 2022: 2819-2829 - 2021
- [c7]Mohammad Dehghanimohammadabadi, Sahil Belsare, Renee M. Thiesing:
Simulation-Optimization of Digital Twin. WSC 2021: 1-10 - [c6]Mohammad Peyman, Pedro Copado, Javier Panadero, Angel A. Juan, Mohammad Dehghanimohammadabadi:
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics. WSC 2021: 1-12
2010 – 2019
- 2019
- [j4]Jeffrey Goldkamp, Mohammad Dehghanimohammadabadi:
Evolutionary multi-objective optimization for multivariate pairs trading. Expert Syst. Appl. 135: 113-128 (2019) - 2018
- [c5]Nuno O. Fernandes, Mohammad Dehghanimohammadabadi, Silvio Carmo-Silva:
Iterative Optimization-Based Simulation: A Decision Support Tool for Job Release. WorldCIST (2) 2018: 706-713 - 2017
- [j3]Mohammad Dehghanimohammadabadi, Thomas K. Keyser, S. Hossein Cheraghi:
A novel Iterative Optimization-based Simulation (IOS) framework: An effective tool to optimize system's performance. Comput. Ind. Eng. 111: 1-17 (2017) - [j2]Mohammad Dehghanimohammadabadi, Thomas K. Keyser:
Intelligent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment. Simul. Model. Pract. Theory 71: 45-60 (2017) - [c4]Mohammad Dehghanimohammadabadi, Mandana Rezaeiahari, Thomas K. Keyser:
Simheuristic of patient scheduling using a table-experiment approach - Simio and Matlab integration application. WSC 2017: 2929-2939 - 2015
- [j1]Seyed Mojtaba Hosseini Bamakan, Mohammad Dehghanimohammadabadi:
A Weighted Monte Carlo Simulation Approach to Risk Assessment of Information Security Management System. Int. J. Enterp. Inf. Syst. 11(4): 63-79 (2015) - [c3]Mohammad Dehghanimohammadabadi, Thomas K. Keyser:
Iterative simulation-optimization of a multi-state manufacturing system. SpringSim (Posters) 2015: 3-4 - [c2]Mohammad Dehghanimohammadabadi, Thomas K. Keyser:
Tradeoffs between objective measures and execution speed in iterative optimization-based simulation (IOS). WSC 2015: 2848-2859 - [c1]Mohammad Dehghanimohammadabadi, Thomas K. Keyser:
Iterative optimization-based simulation (IOS) with deterministic and stochastic trigger events in simulated time. WSC 2015: 3108-3109
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