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Sara Shashaani
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A simulation optimization approach to epidemic forecasting
EO Nsoesie, RJ Beckman, S Shashaani, KS Nagaraj, MV Marathe
PloS one 8 (6), e67164, 2013
862013
ASTRO-DF: A class of adaptive sampling trust-region algorithms for derivative-free stochastic optimization
S Shashaani, FS Hashemi, R Pasupathy
SIAM Journal on Optimization 28 (4), 3145-3176, 2018
822018
Single-machine batch scheduling minimizing weighted flow times and delivery costs
MM Mazdeh, S Shashaani, A Ashouri, KS Hindi
Applied Mathematical Modelling 35 (1), 563-570, 2011
692011
Multi-stage prediction for zero-inflated hurricane induced power outages
S Shashaani, SD Guikema, C Zhai, JV Pino, SM Quiring
IEEE Access 6, 62432-62449, 2018
302018
Using simulation in hospital layout planning
I Arnolds, S Nickel, S Shashaani, C Wernz
Proceedings of the winter simulation conference, 1-2, 2012
222012
Statistical modeling in absence of system specific data: exploratory empirical analysis for prediction of water main breaks
TYJ Chen, JA Beekman, S David Guikema, S Shashaani
Journal of Infrastructure Systems 25 (2), 04019009, 2019
212019
ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience
S Shashaani, SR Hunter, R Pasupathy
2016 Winter Simulation Conference (WSC), 554-565, 2016
122016
Chemotherapy patient scheduling and uncertainty
S Shashaani
Purdue University, 2011
122011
Diagnostic tools for evaluating and comparing simulation-optimization algorithms
DJ Eckman, SG Henderson, S Shashaani
INFORMS Journal on Computing 35 (2), 350-367, 2023
102023
SimOpt: A testbed for simulation-optimization experiments
DJ Eckman, SG Henderson, S Shashaani
INFORMS Journal on Computing 35 (2), 495-508, 2023
92023
Improved feature selection with simulation optimization
S Shashaani, K Vahdat
Optimization and Engineering 24 (2), 1183-1223, 2023
72023
Astro for derivative-based stochastic optimization: Algorithm description & numerical experiments
D Vasquez, S Shashaani, R Pasupathy
2019 Winter Simulation Conference (WSC), 3563-3574, 2019
72019
Wake effect parameter calibration with large-scale field operational data using stochastic optimization
P Jain, S Shashaani, E Byon
Applied Energy 347, 121426, 2023
52023
Improved complexity of trust-region optimization for zeroth-order stochastic oracles with adaptive sampling
Y Ha, S Shashaani, Q Tran-Dinh
2021 Winter Simulation Conference (WSC), 1-12, 2021
52021
Non-parametric uncertainty bias and variance estimation via nested bootstrapping and influence functions
K Vahdat, S Shashaani
2021 Winter Simulation Conference (WSC), 1-12, 2021
52021
Wake Effect Calibration in Wind Power Systems with Adaptive Sampling based Optimization
P Jain, S Shashaani, E Byon
IIE Annual Conference. Proceedings, 2021
52021
Simulation Optimization Based Feature Selection, a Study on Data-driven Optimization with Input Uncertainty
K Vahdat, S Shashaani
In Proceedings of the 2020 Winter Simulation Conference, Piscataway, NJ …, 2020
52020
Robust prediction error estimation with Monte-Carlo methodology
K Vahdat, S Shashaani
arXiv preprint arXiv:2207.13612, 2022
42022
Evaluating and comparing simulation-optimization algorithms
DJ Eckman, SG Henderson, S Shashaani
Under review, 2021
42021
On Common-Random-Numbers and The Complexity of Adaptive Sampling Trust-Region Methods
Y Ha, S Shashaani, R Pasupathy
optimization-online. org, 2023
32023
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