Stochastic Operations Research (SOR) Lab.
Welcome to the Stochastic Operations Research Laboratory!
We are working on the following topics.
Simulation Optimization
Statistical Modeling and Analysis
Applications in Environmental Management
Selected Publications
Park, C., S.-H. Kim. 2015. Penalty function with memory for discrete optimization via simulation with stochastic constraints. Operations Research 63(5): 1195-1212. [link]
Zhou, Y., S. Andradottir, S.-H. Kim, C. Park. 2022. Finding feasible systems for subjective constraints using recycled observations. INFORMS Journal on Computing 34(6): 3080-3095. (Selected as a featured article) [link]
Chen, J., C. Park, S.-H. Kim, Y. Xie. 2019. To reduce or not to reduce: A study on spatio-temporal surveillance. Environmental and Ecological Statistics 26(3): 217-238. [link]
Kim, H., C. Park, Y. Kang. 2020. Distribution-guided heuristic search for nonlinear parameter estimation with an application in semiconductor manufacturing. IISE Transactions 52(11): 1246-1261. [link]
Park, C., P.-K Park, P. Mane, H. Hyung, V. Gandhi, S.-H. Kim, J.-H. Kim. 2010. Stochastic cost estimation approach for full-scale reverse osmosis desalination plant. Journal of Membrane Science 364:52-64. [link]
Kim, S.-H., M.M. Aral, Y. Eun, J.J. Park, C. Park. 2017. Impact of sensor measurement errors on sensor positioning in water quality monitoring networks. Stochastic Environmental Research and Risk Assessment 31(3): 743-756. [link]
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