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Tsung-Jung Hsieh

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2020 – today

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2023
[j17]
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Tsung-Jung Hsieh:
Performance indicator-based multi-objective reliability optimization for multi-type production systems with heterogeneous machines. Reliab. Eng. Syst. Saf. 230: 108970 (2023)
[j16]
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Tsung-Jung Hsieh:
A Q-learning guided search for developing a hybrid of mixed redundancy strategies to improve system reliability. Reliab. Eng. Syst. Saf. 236: 109297 (2023)
2021
[j15]
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  - journals/ress/Hsieh21
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Tsung-Jung Hsieh:
Component mixing with a cold standby strategy for the redundancy allocation problem. Reliab. Eng. Syst. Saf. 206: 107290 (2021)
2020
[j14]
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  - journals/eaai/Hsieh20
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Tsung-Jung Hsieh:
Data-driven oriented optimization of resource allocation in the forging process using Bi-objective Evolutionary Algorithm. Eng. Appl. Artif. Intell. 89: 103469 (2020)

2010 – 2019

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2018
[j13]
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  - journals/kbs/Hsieh18
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Tsung-Jung Hsieh:
A micro-view-based data mining approach to diagnose the aging status of heating coils. Knowl. Based Syst. 143: 10-18 (2018)
2015
[j12]
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  - journals/eor/LiaoHGLC15
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Chung-Shou Liao, Tsung-Jung Hsieh, Xian-Chang Guo, Jian-Hong Liu, Chia-Chi Chu:
Hybrid search for the optimal PMU placement problem on a power grid. Eur. J. Oper. Res. 243(3): 985-994 (2015)
2014
[j11]
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Tsung-Jung Hsieh:
A bacterial gene recombination algorithm for solving constrained optimization problems. Appl. Math. Comput. 231: 187-204 (2014)
[j10]
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Tsung-Jung Hsieh:
Hierarchical redundancy allocation for multi-level reliability systems employing a bacterial-inspired evolutionary algorithm. Inf. Sci. 288: 174-193 (2014)
[j9]
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  - journals/tase/LiaoHHC14
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Chung-Shou Liao, Tsung-Jung Hsieh, Yu-Syuan Huang, Chen-Fu Chien:
Similarity Searching for Defective Wafer Bin Maps in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. 11(3): 953-960 (2014)
2012
[j8]
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  - journals/cor/HsiehY12
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Tsung-Jung Hsieh, Wei-Chang Yeh:
Penalty guided bees search for redundancy allocation problems with a mix of components in series-parallel systems. Comput. Oper. Res. 39(11): 2688-2704 (2012)
[j7]
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Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh:
Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm. Neurocomputing 82: 196-206 (2012)
[j6]
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  - journals/nca/YehH12
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Wei-Chang Yeh, Tsung-Jung Hsieh:
Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation. Neural Comput. Appl. 21(2): 365-375 (2012)
[c1]
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  - conf/cscwd/HsiehLHC12
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Tsung-Jung Hsieh, Chung-Shou Liao, Yu-Syuan Huang, Chen-Fu Chien:
A new morphology-based approach for similarity searching on wafer bin maps in semiconductor manufacturing. CSCWD 2012: 869-874
2011
[j5]
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  - journals/asc/HsiehHY11
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Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh:
Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm. Appl. Soft Comput. 11(2): 2510-2525 (2011)
[j4]
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Wei-Chang Yeh, Tsung-Jung Hsieh:
Solving reliability redundancy allocation problems using an artificial bee colony algorithm. Comput. Oper. Res. 38(11): 1465-1473 (2011)
[j3]
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  - journals/eswa/YehLHL11
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Wei-Chang Yeh, Wen-Ben Lin, Tsung-Jung Hsieh, Sin-Long Liu:
Feasible prediction in S-system models of genetic networks. Expert Syst. Appl. 38(1): 193-197 (2011)
[j2]
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  - journals/tr/YehSHCL11
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Wei-Chang Yeh, J. C. P. Su, Tsung-Jung Hsieh, Mingchang Chih, Sin-Long Liu:
Approximate Reliability Function Based on Wavelet Latin Hypercube Sampling and Bee Recurrent Neural Network. IEEE Trans. Reliab. 60(2): 404-414 (2011)
[j1]
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Tsung-Jung Hsieh, Wei-Chang Yeh:
Knowledge Discovery Employing Grid Scheme Least Squares Support Vector Machines Based on Orthogonal Design Bee Colony Algorithm. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1198-1212 (2011)

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