Travelled to:
1 × Korea
1 × Sweden
1 × Taiwan
1 × USA
Collaborated with:
J.Xu E.Huang S.Zhang L.H.Lee Yijie Peng C.Chang S.Chang S.Gao Jianzhong Du M.W.Brantley A.Chen H.Li X.Xu R.Chen E.P.Chew H.Jen Minjie Zou Felix Ocker B.Vogel-Heuser N.Celik
Talks about:
optim (10) transform (4) simul (4) ordin (4) procedur (3) select (3) design (3) sampl (3) multi (3) fidel (3)
Person: Chun-Hung Chen
DBLP: Chen:Chun=Hung
Contributed to:
Wrote 10 papers:
- CASE-2015-ChenXZCL #effectiveness #learning #multi #optimisation #simulation
- An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation (RC, JX, SZ, CHC, LHL), pp. 702–707.
- CASE-2014-XuZHCLC #framework #multi #optimisation #simulation
- An ordinal transformation framework for multi-fidelity simulation optimization (JX, SZ, EH, CHC, LHL, NC), pp. 385–390.
- CASE-2012-ZhangLCCJ #set #simulation
- An improved simulation budget allocation procedure to efficiently select the optimal subset of many alternatives (SZ, LHL, EPC, CHC, HYJ), pp. 230–236.
- CASE-2008-BrantleyLCC #design #empirical #optimisation #probability
- Optimal sampling in design of experiment for simulation-based stochastic optimization (MWB, LHL, CHC, AC), pp. 388–393.
- CASE-2016-ZhangXHC #multi #optimisation
- A new optimal sampling rule for multi-fidelity optimization via ordinal transformation (SZ, JX, EH, CHC), pp. 670–674.
- CASE-2017-ChangCC #how #modelling #performance #variability
- How simplified models of different variability affects performance of ordinal transformation (CMC, SCC, CHC), pp. 1065–1066.
- CASE-2017-PengHXC #approach #coordination #information management #optimisation
- An optimization approach for team coordination through information sharing (YP, EH, JX, CHC), pp. 282–287.
- CASE-2018-LiXPC #markov #performance #probability
- Efficient Sampling Procedure for Selecting the Largest Stationary Probability of a Markov Chain (HL, XX, YP, CHC), pp. 899–905.
- CASE-2018-ZouOHVC #automation #design #optimisation #parametricity
- Design Parameter Optimization of Automated Production Systems (MZ, FO, EH, BVH, CHC), pp. 359–364.
- CASE-2019-GaoDC #design
- Selecting the Optimal System Design under Covariates (SG, JD, CHC), pp. 547–552.