| 1 |
Efficient Learning for Selecting Important Nodes in Random Network
Li HD, Xu XY, Peng YJ, Chen CH
IEEE Transactions on Automatic Control, 66(3), 1321, 2021 |
| 2 |
Simultaneous energy and environment-based optimization and retrofit of TEG dehydration process: An industrial case study
Al Ani Z, Gujarathi AM, Vakili-Nezhaad GR
Process Safety and Environmental Protection, 147, 972, 2021 |
| 3 |
Mixed-Integer dynamic optimization of conventional and vapor recompressed batch distillation for economic and environmental objectives
Parhi SS, Rangaiah GP, Jana AK
Chemical Engineering Research & Design, 154, 70, 2020 |
| 4 |
Efficient Simulation Budget Allocation With Bound Information
Li HD, Xu XY, Zhao YP
IEEE Transactions on Automatic Control, 65(1), 207, 2020 |
| 5 |
Stochastic Control Framework for Determining Feasible Alternatives in Sampling Allocation
Peng YJ, Song J, Xu J, Chong EKP
IEEE Transactions on Automatic Control, 65(6), 2647, 2020 |
| 6 |
화학플랜트에서의 화학물질 누출사고에 대한 배상책임 위험도 산정
문정만, 박달재
Korean Chemical Engineering Research, 58(3), 438, 2020 |
| 7 |
A new method for identifying persistent, bioaccumulative, and toxic organic pollutants in coking wastewater
Bu QW, Li QS, Cao YB, Cao HM
Process Safety and Environmental Protection, 144, 158, 2020 |
| 8 |
An efficient simulation procedure for ranking the top simulated designs in the presence of stochastic constraints
Xiao H, Chen H, Lee LH
Automatica, 103, 106, 2019 |
| 9 |
Efficient simulation budget allocation for subset selection using regression metamodels
Gao F, Shi ZS, Gao SY, Xiao H
Automatica, 106, 192, 2019 |
| 10 |
Efficient Simulation Sampling Allocation Using Multifidelity Models
Peng YJ, Xu J, Lee LH, Hu JQ, Chen CH
IEEE Transactions on Automatic Control, 64(8), 3156, 2019 |
