Hamed Rahimian
Hamed Rahimian
Assistant Professor at Clemson University
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Distributionally Robust optimization: A Review
H Rahimian, S Mehrotra
Available on optimization online, 2019
Distributionally Robust Optimization: A Review
H Rahimian, S Mehrotra
Available on optimization online, 2019
Distributionally Robust Optimization: A Review
H Rahimian, S Mehrotra
arXiv preprint arXiv:1908.05659, 2019
A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19
S Mehrotra, H Rahimian, M Barah, F Luo, K Schantz
Naval Research Logistics (NRL) 67 (5), 303-320, 2020
Frameworks and results in distributionally robust optimization
H Rahimian, S Mehrotra
Open Journal of Mathematical Optimization 3, 1-85, 2022
Identifying effective scenarios in distributionally robust stochastic programs with total variation distance
H Rahimian, G Bayraksan, T Homem-de-Mello
Mathematical Programming 173 (1-2), 393-430, 2019
A comprehensive dynamic cell formation design: Benders’ decomposition approach
MM Ghotboddini, M Rabbani, H Rahimian
Expert Systems with Applications 38 (3), 2478-2488, 2011
Controlling risk and demand ambiguity in newsvendor models
H Rahimian, G Bayraksan, T Homem-de-Mello
European Journal of Operational Research 279 (3), 854-868, 2019
Decomposition algorithms for risk-averse multistage stochastic programs with application to water allocation under uncertainty
W Zhang, H Rahimian, G Bayraksan
INFORMS Journal on Computing 28 (3), 385-404, 2016
A resilient inventory management of pharmaceutical supply chains under demand disruption
SR Pathy, H Rahimian
Computers & Industrial Engineering 180, 109243, 2023
A synthetic data-plus-features driven approach for portfolio optimization
BK Pagnoncelli, D Ramírez, H Rahimian, A Cifuentes
Computational Economics 62 (1), 187-204, 2023
Optimal long-term distributed generation planning and reconfiguration of distribution systems: An accelerating Benders’ decomposition approach
S Khodayifar, MA Raayatpanah, A Rabiee, H Rahimian, PM Pardalos
Journal of Optimization Theory and Applications 179, 283-310, 2018
Effective scenarios in multistage distributionally robust optimization with a focus on total variation distance
H Rahimian, G Bayraksan, TH De-Mello
SIAM Journal on Optimization 32 (3), 1698-1727, 2022
Distributionally Robust Newsvendor Problems with Variation Distance
H Rahimian, G Bayraksan, T Homem-de-Mello
A classification method for ranking and selection with covariates
G Keslin, BL Nelson, M Plumlee, BK Pagnoncelli, H Rahimian
2022 Winter Simulation Conference (WSC), 1-12, 2022
Data-Driven Approximation of Contextual Chance-Constrained Stochastic Programs
H Rahimian, B Pagnoncelli
Mixed-model sequencing with stochastic failures: A case study for automobile industry
IO Yilmazlar, ME Kurz, H Rahimian
European Journal of Operational Research, 2024
Sequential Convexification of a Bilinear Set
H Rahimian, S Mehrotra
Optimization Online http://www. optimization-online. org/DB_HTML/2020/01 …, 2021
Contextual Chance-Constrained Programming
H Rahimian, B Pagnoncelli
A risk-averse and chance-constrained two-stage stochastic programming model for pharmaceutical supply chain management under demand uncertainty
SR Pathy, H Rahimian
IIE Annual Conference. Proceedings, 1-6, 2022
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