Tsung-Jung Hsieh

According to our database, Tsung-Jung Hsieh authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Q-learning guided search for developing a hybrid of mixed redundancy strategies to improve system reliability.

Tsung-Jung Hsieh

Reliab. Eng. Syst. Saf., August, 2023

Performance indicator-based multi-objective reliability optimization for multi-type production systems with heterogeneous machines.

Tsung-Jung Hsieh

Reliab. Eng. Syst. Saf., 2023

2021

Component mixing with a cold standby strategy for the redundancy allocation problem.

Tsung-Jung Hsieh

Reliab. Eng. Syst. Saf., 2021

2020

Data-driven oriented optimization of resource allocation in the forging process using Bi-objective Evolutionary Algorithm.

Tsung-Jung Hsieh

Eng. Appl. Artif. Intell., 2020

2018

A micro-view-based data mining approach to diagnose the aging status of heating coils.

Tsung-Jung Hsieh

Knowl. Based Syst., 2018

2015

Hybrid search for the optimal PMU placement problem on a power grid.

Chung-Shou Liao, Tsung-Jung Hsieh, Xian-Chang Guo, Jian-Hong Liu, Chia-Chi Chu

Eur. J. Oper. Res., 2015

2014

Similarity Searching for Defective Wafer Bin Maps in Semiconductor Manufacturing.

Chung-Shou Liao, Tsung-Jung Hsieh, Yu-Syuan Huang, Chen-Fu Chien

IEEE Trans Autom. Sci. Eng., 2014

Hierarchical redundancy allocation for multi-level reliability systems employing a bacterial-inspired evolutionary algorithm.

Tsung-Jung Hsieh

Inf. Sci., 2014

A bacterial gene recombination algorithm for solving constrained optimization problems.

Tsung-Jung Hsieh

Appl. Math. Comput., 2014

2012

Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation.

Wei-Chang Yeh, Tsung-Jung Hsieh

Neural Comput. Appl., 2012

Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm.

Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh

Neurocomputing, 2012

Penalty guided bees search for redundancy allocation problems with a mix of components in series-parallel systems.

Tsung-Jung Hsieh, Wei-Chang Yeh

Comput. Oper. Res., 2012

A new morphology-based approach for similarity searching on wafer bin maps in semiconductor manufacturing.

Tsung-Jung Hsieh, Chung-Shou Liao, Yu-Syuan Huang, Chen-Fu Chien

Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012

2011

Knowledge Discovery Employing Grid Scheme Least Squares Support Vector Machines Based on Orthogonal Design Bee Colony Algorithm.

Tsung-Jung Hsieh, Wei-Chang Yeh

IEEE Trans. Syst. Man Cybern. Part B, 2011

Approximate Reliability Function Based on Wavelet Latin Hypercube Sampling and Bee Recurrent Neural Network.

Wei-Chang Yeh, J. C. P. Su, Tsung-Jung Hsieh, Mingchang Chih, Sin-Long Liu

IEEE Trans. Reliab., 2011

Feasible prediction in S-system models of genetic networks.

Wei-Chang Yeh, Wen-Ben Lin, Tsung-Jung Hsieh, Sin-Long Liu

Expert Syst. Appl., 2011

Solving reliability redundancy allocation problems using an artificial bee colony algorithm.

Wei-Chang Yeh, Tsung-Jung Hsieh

Comput. Oper. Res., 2011

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm.

Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh

Appl. Soft Comput., 2011