Sara Shashaani

Ha, Y., & Shashaani, S. (2024). Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization. IISE Transactions. https://doi.org/10.1080/24725854.2024.2335513

Adaptive Robust Genetic Algorithms with Ranking and Selection. (2023). 2023 Winter Simulation Conference.

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, January 5). Diagnostic Tools for Evaluating and Comparing Simulation- Optimization Algorithms. INFORMS JOURNAL ON COMPUTING, Vol. 1. https://doi.org/10.1287/ijoc.2022.1261

Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization. (2023). Retrieved from https://arxiv.org/abs/2305.10650

Shashaani, S., & Vahdat, K. (2023). Monte Carlo Based Machine Learning. In Lecture Notes in Operations Research. https://doi.org/10.1007/978-3-031-24907-5_75

On Common-Random-Numbers and the Complexity of Adaptive Sampling Trust-Region Methods. (2023, August 4). Retrieved from https://optimization-online.org website: https://optimization-online.org/wp-content/uploads/2023/08/astrodf-complexity-online-version.pdf

Houser, E., Shashaani, S., Harrysson, O., & Jeon, Y. (2023, May 13). Predicting additive manufacturing defects with robust feature selection for imbalanced data. IISE TRANSACTIONS, Vol. 5. https://doi.org/10.1080/24725854.2023.2207633

Alizadeh, N., Vahdat, K., Shashaani, S., Swann, J. L., & Ozaltin, O. (2023, August 9). Risk Score Models for Unplanned Urinary Tract Infection Hospitalization. https://doi.org/10.1101/2023.08.06.23293723

Robust Output Analysis with Monte-Carlo Methodology. (2023).

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023, March 9). SimOpt: A Testbed for Simulation-Optimization Experiments. INFORMS JOURNAL ON COMPUTING, Vol. 3. https://doi.org/10.1287/ijoc.2023.1273

Simulation Optimization with Stochastic Constraints. (2023). 2023 Winter Simulation Conference.

Jeon, Y., Pasupathy, R., & Shashaani, S. (2023). Statistical Inference on Simulation Output: Batching as an Inferential Device. https://doi.org/10.48550/ARXIV.2311.04159

Stochastic Constraints: How Feasible is Feasible? (2023). 2023 Winter Simulation Conference.

Stratification with Concomitant Variables in Stochastic Trust-region Optimization. (2023). 2023 Winter Simulation Conference.

Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling. (2023). 2023 Winter Simulation Conference.

Jain, P., Shashaani, S., & Byon, E. (2023). Wake effect parameter calibration with large-scale field operational data using stochastic optimization. APPLIED ENERGY, 347. https://doi.org/10.1016/j.apenergy.2023.121426

Shashaani, S., & Vahdat, K. (2022, May 30). Improved feature selection with simulation optimization. OPTIMIZATION AND ENGINEERING, Vol. 5. https://doi.org/10.1007/s11081-022-09726-3

Mao, L., Vahdat, K., Shashaani, S., & Swann, J. L. (2022). Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering. In Springer Proceedings in Business and Economics (pp. 453–465). https://doi.org/10.1007/978-3-030-75166-1_34

Jain, P., Shashaani, S., & Byon, E. (2022). ROBUST SIMULATION OPTIMIZATION WITH STRATIFICATION. 2022 WINTER SIMULATION CONFERENCE (WSC), pp. 2246–2257. https://doi.org/10.1109/wsc57314.2022.10015515

Ha, Y., Shashaani, S., & Tran-Dinh, Q. (2021). Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715529

Vahdat, K., & Shashaani, S. (2021). Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions. 2021 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc52266.2021.9715420

Parameter Calibration with Stratified Adaptive Stochastic Trust-region Optimization. (2021). INFORMS Workshop on Quality, Statistics, and Reliability.

Jain, P., Shashaani, S., & Byon, E. (2021). Wake Effect Calibration in Wind Power Systems with Adaptive Sampling Based Optimization. IISE Annual Conference Proceedings, 43–48. Retrieved from https://www.proquest.com/scholarly-journals/wake-effect-calibration-wind-power-systems-with/docview/2560890092

Manda, A. B., Gopalswamy, K., Shashaani, S., & Uzsoy, R. (2020). A SIMULATION OPTIMIZATION APPROACH FOR MANAGING PRODUCT TRANSITIONS IN MULTISTAGE PRODUCTION LINES. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 1730–1741. https://doi.org/10.1109/wsc48552.2020.9384036

Vahdat, K., & Shashaani, S. (2020). SIMULATION OPTIMIZATION BASED FEATURE SELECTION, A STUDY ON DATA-DRIVEN OPTIMIZATION WITH INPUT UNCERTAINTY. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 2149–2160. https://doi.org/10.1109/WSC48552.2020.9383862

Simulation Optimization Library [Data set]. (2020). Retrieved from https://github.com/simopt-admin/simopt

Traffic Signal Control Simulation and Optimization. (2020). Winter Simulation Conference.

ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. (2019). 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004904

Chen, T. Y.-J., Beekman, J. A., Guikema, S. D., & Shashaani, S. (2019). Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks. JOURNAL OF INFRASTRUCTURE SYSTEMS, 25(2). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000482

ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization. (2018). SIAM Journal on Optimization. https://doi.org/10.1137/15m1042425

Shashaani, S., Guikema, S. D., Zhai, C., Pino, J. V., & Quiring, S. M. (2018). Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages. IEEE Access, 6, 62432–62449. https://doi.org/10.1109/ACCESS.2018.2877078

ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. (2016). 2016 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc.2016.7822121

A Simulation Optimization Approach to Epidemic Forecasting. (2013). PLoS ONE. https://doi.org/10.1371/journal.pone.0067164

Single-machine batch scheduling minimizing weighted flow times and delivery costs. (2011). Applied Mathematical Modelling. https://doi.org/10.1016/j.apm.2010.07.023