Joohyun Shin - researchr alias

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Viewing Publication 1 - 7 from 7

2021

Customizing intelligent recommendation study with multiple advisors based on hierarchy structured fuzzy-analytic hierarchy processSeong Wan Park, Libor Mesicek, Joohyun Shin, Kitae Bae, Kyungjin An, Hoon Ko. concurrency, 33(23), 2021. [doi]

2019

Reinforcement Learning - Overview of recent progress and implications for process controlJoohyun Shin, Thomas A. Badgwell, Kuang-Hung Liu, Jay H. Lee. cce, 127:282-294, 2019. [doi]

Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programmingJoohyun Shin, Jay H. Lee. cce, 121:556-573, 2019. [doi]

2018

Machine learning: Overview of the recent progresses and implications for the process systems engineering fieldJay H. Lee, Joohyun Shin, Matthew J. Realff. cce, 114:111-121, 2018. [doi]

An optimization based strategy for crude selection in a refinery with lube hydro-processingKyungseok Noh, Joohyun Shin, Jay H. Lee. cce, 116:91-111, 2018. [doi]

2016

Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demandJoohyun Shin, Jay H. Lee. cce, 91:114-126, 2016. [doi]

Stochastic optimization with value function approximation for micro-grid operationJoohyun Shin, Jay H. Lee, Matthew J. Realff. cdc 2016: 7099-7104 [doi]

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