Prof. Dr. Wei-Chiang Hong
ProfessorHarbin Engineering University, Harbin, Heilongjiang, China
Highest Degree
Ph.D. in Management from Dayeh University, Taiwan
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Biography
Dr. Wei-Chiang Samuelson Hong is currently working as Professor in Department of Information Management, Oriental Institute of Technology, Taiwan. He obtained his PhD in Management from Da Yeh University, Changhua, Taiwan in 2008. His research area focused on Computational Intelligence (Neural Networks, Evolutionary Computation), Application of Forecasting Technology (ARIMA, Support Vector Regression, and Chaos Theory, Cloud Theory, Quantum theory), and Active Data Mining. In past he worked as Adjunct Lecturer at Da Yeh University Taiwan, Visiting Scholar at Osaka University Japan, Lecturer, Assistant Professor and Associate Professor at Oriental Institute of Technology, Taiwan. He is member of following professional societies, IIE (The Institution of Industrial Engineers) USA, Institute of Electrical and Electronics Engineers, IEEE Systems, Man, and Cybernetics Society Technical Committee on Soft Computing, USA, INFORMS (Institute for Operations Research and Management Sciences), USA. He has published 69 articles in journals, 3 book and book chapters, 22 papers in conferences as author/co-author. He is also member of editorial board in number of journals.
Area of Interest:
Selected Publications
- Umbarkar, A.J., M.S. Joshi and W.C. Hong, 2016. Comparative study of diversity based parallel dual population genetic algorithm for unconstrained function optimizations. Int. J. Bio. Inspired Comput., 10.1504/IJBIC.2016.078638.
CrossRef | Direct Link | - Li, M.W., W.C. Hong, J. Geng and J. Wang, 2016. Berth and quay crane coordinated scheduling using chaos cloud particle swarm optimization algorithm. Neural Comput. Appli., 10.1007/s00521-016-2226-7.
CrossRef | Direct Link | - Li, M.W., J. Geng, W.C. Hong and Z.Y. Chen, 2016. A novel approach based on the Gauss-vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting. Neural Comput. Appli., 10.1007/s00521-016-2396-3.
CrossRef | Direct Link | - Fan, G., L.L. Peng, W.C. Hong and F. Sun, 2016. Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression. Neurocomput., 173: 958-970.
CrossRef | Direct Link | - Fan, G., L.L. Peng, M.L. Huang and W.C. Hong, 2016. Hybridizing DEMD and quantum PSO with SVR in electric load forecasting. Energ., 9: 221-221.
CrossRef | Direct Link | - Chen, Y.H., W.C. Hong, W. Shen and N.N. Huang, 2016. Electric load forecasting based on LSSVM with fuzzy time series and global harmony search algorithm. Energ., 9: 1-13.
CrossRef | Direct Link | - Geng, J., M.L. Huang, M.W. Li and W.C. Hong, 2015. Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model. Neurocomputing, 151: 1362-1373.
CrossRef | - Fan, G.F., L.L. Peng, W.C. Hong and F. Sun, 2015. Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression. Neurocomputing, (In Press). 10.1016/j.neucom.2015.08.051.
CrossRef | Direct Link | - Dong, Y., X. Chen, C.C. Li, W.C. Hong and Y. Xu, 2015. Consistency issues of interval pairwise comparison matrices. Soft Comput., 19: 2321-2335.
CrossRef | Direct Link | - Chen, R., C.Y. Liang, W.C. Hong and D.X. Gu, 2015. Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm. Applied Soft Computi., 26: 435-443.
CrossRef | - Zheng, F., E. Zhang, Y. Xu and W.C. Hong, 2014. Competitive analysis for make-to-order scheduling with reliable lead time quotation. J. Combinatorial Optimization, 27: 182-198.
CrossRef | - Wei, S.Y., N.Y. Chu and W.C. Hong, 2014. A straightforward approach to estimate the abnormal return in Taiwan`s real estate market. Int. J. Applied Evolutionary Comput., 5: 34-43.
Direct Link | - Umbarkar, A.J., M.S. Joshi and W.C. Hong, 2014. Multithreaded parallel dual population genetic algorithm (MPDPGA) for unconstrained function optimizations on multi-core system. Applied Math. Comput., 243: 936-949.
CrossRef | - Pandi, V.R., B.K. Panigrahi, W.C. Hong and R. Sharma, 2014. A multiobjective bacterial foraging algorithm to solve the environmental economic dispatch problem. Energy Sources Part B: Econ. Plann. Policy, 9: 236-247.
CrossRef | - Pan, B., S.Y. Wei, X. Xu and W.C. Hong, 2014. The impact of defense investment on economic growth in the perspective of time series-A case study of China. Int. J. Applied Evolutionary Comput., 5: 44-58.
Direct Link | - Fan, G., L.L. Peng, W.C. Hong and F. Sun, 2014. Kinetics for reduction of high phosphorus iron ore based on the phase space reconstruction. J. Applied Math., Vol. 2014. 10.1155/2014/514851.
CrossRef | - Fan, G., L.L. Peng, H. Wang and W.C. Hong, 2014. Non-isothermal kinetics model for direct reduction of phosphorus iron ore by powdered coal. Mining Metallurgical Eng., 34: 75-83.
CrossRef | - Dubey, H.M., B.K. Panigrahi, M. Pandit, A. Agarwal and W.C. Hong, 2014. Invasive weed optimization for combined economic and emission dispatch problems. Int. J. Applied Evolutionary Comput., 5: 1-18.
Direct Link | - Li, M., W.C. Hong and H. Kang, 2013. Urban traffic flow forecasting using Gauss-SVR with cat mapping, cloud model and PSO hybrid algorithm. Neurocomputing, 44: 230-240.
CrossRef | - Li, M., H. Kang, P. Zhou and W.C. Hong, 2013. Hybrid optimization algorithm based on chaos, cloud and particle swarm optimization algorithm. J. Syst. Eng. Electron., 24: 324-334.
Direct Link | - Ju, F.Y. and W.C. Hong, 2013. Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting. Applied Mathem. Modelling, 37: 9643-9651.
CrossRef | - Hong, W.C., Y. Dong, W.Y. Zhang, L.Y. Chen and B.K. Panigrahi, 2013. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm. Int. J. Electrical Power Energy Syst., 44: 604-614.
Direct Link | - Fan, G., S. Qing, H. Wang, W.C. Hong and H.J. Li, 2013. Support vector regression model based on empirical mode decomposition and auto regression for electric load forecasting. Energies, 6: 1887-1901.
CrossRef | - Fan, G., S. Qing, H. Wang and W.C. Hong, 2013. The kinetic model for direct smelting reduction process of Huimin iron ore. Mineral Process. Extractive Metallurgy, 122: 105-112. Mineral Process. Extractive Metallurgy, 122: 105-112.
Direct Link | - Dong, Y., W.C. Hong, Y. Xu and S. Yu, 2013. Numerical scales generated individually for analytic hierarchy process. Eur. J. Operational Res., 229: 654-662.
CrossRef | - Dong, Y., W.C. Hong and Y. Xu, 2013. Measuring consistency of linguistic preference relations: A 2-tuple linguistic approach. Soft Comput., 17: 2117-2130.
CrossRef | - Dong, Y., G. Zhang, W.C. Hong and S. Yu, 2013. Linguistic computation model based on 2-tuples and intervals. IEEE Trans. Fuzzy Syst., 21: 1006-1018.
CrossRef | - Chiang, H.W., 2013. Intelligent Energy Demand Forecasting. Springer London.UK.ISBN: 978-1-44714-967-5.
- Zhang, W.Y., W.C. Hong, Y. Dong, G. Tsai, J.T. Sung and G. Fan, 2012. Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting. Energy, 45: 850-858.
CrossRef | - Wei, S.Y., J.J.W. Yang and W.C. Hong, 2012. Will the deduction of daily price limit induce volatility decrease? Taiwan evidence. Adv. Financial Planning Forecasting, 5: 49-68.
Direct Link | - Hong, W.C., 2012. Application of seasonal SVR with chaotic immune algorithm in traffic flow forecasting. Neural Comput. Applic., 21: 583-593.
CrossRef | - Fan, G., S. Qing, H. Wang, Z. Shi, W.C. Hong and L. Dai, 2012. Study on apparent kinetic prediction model of the smelting reduction based on the time series. Math. Problems Eng., Vol. 2012. 10.1155/2012/720849.
CrossRef | - Wei, S.Y., W.C. Hong and K. Wang, 2011. Firm size transmission effect and price-volume relationship analysis during financial tsunami periods. Int. J. Applied Evolutionary Comput., 2: 59-78.
- Wei, S.Y., J.J.W. Yang, J.T. Chen and W.C. Hong, 2011. The volatility for pre and post global financial crisis: An application of computational finance. Int. J. Applied Evolutionary Comput., 2: 82-95.
- Hong, W.C., Y.C. Dong, L.Y. Chen and S.Y. Wei, 2011. SVR with hybrid chaotic genetic algorithms for tourism demand forecasting. Applied Soft Comput., 11: 1881-1890.
CrossRef | Direct Link | - Hong, W.C., Y. Dong, F. Zheng and S.Y. Wei, 2011. Hybrid evolutionary algorithms in a SVR traffic flow forecasting model. Applied Math. Comput., 217: 6733-6747.
CrossRef | - Hong, W.C., Y. Dong, F. Zheng and C.Y. Lai, 2011. Forecasting urban traffic flow by SVR with continuous ACO. Applied Math. Mod., 35: 1282-1291.
CrossRef | - Hong, W.C., Y. Dong, C.Y. Lai, L.Y. Chen and S.Y. Wei, 2011. SVR with hybrid chaotic immune algorithm for seasonal load demand forecasting. Energies, 4: 960-977.
CrossRef | - Hong, W.C., 2011. Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm. Neurocomputing, 74: 2096-2107.
CrossRef | - Hong, W.C., 2011. Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm. Energy, 36: 5568-5578.
CrossRef | Direct Link | - Dong, Y., W.C. Hong, Y. Xu and S. Yu, 2011. Selecting the individual numerical scale and the prioritization method in the analytic hierarchy process: A 2-tuple fuzzy linguistic approach. IEEE Trans. Fuzzy Syst., 19: 13-25.
Direct Link | - Lin, C.T., W.C. Hong, Y.F. Chen and Y. Dong, 2010. Application of salesman-like recommendation system in 3G mobile phone online shopping decision support. Expert Syst. Applic., 37: 8065-8078.
Direct Link | - Hong, W.C., Y. Dong, L.Y. Chen and C.Y. Lai, 2010. Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms. Exp. Syst. Applic., 37: 4452-4462.
CrossRef | - Hong, W.C., 2010. Application of chaotic ant swarm optimization in electric load forecasting. Energy Policy, 38: 5830-5839.
CrossRef | - Dong, Y., G. Zhang, W.C. Hong and Y. Xu, 2010. Consensus models for AHP group decision making under row geometric mean prioritization method. Decis. Support Syst., 49: 281-289.
CrossRef | Direct Link | - Hung, W.M. and W.C. Hong, 2009. Application of SVR with improved ant colony optimization algorithms in exchange rate forecasting. Control Cybernetics, 38: 863-891.
Direct Link | - Hong, W.C., 2009. Hybrid evolutionary algorithms in a SVR-based electric load forecasting model. Int. J. Electrical Power Energy Syst., 31: 409-417.
CrossRef | - Hong, W.C., 2009. Global competitiveness measurement for the tourism sector. Curr. Issues Tourism, 12: 105-132.
CrossRef | - Hong, W.C., 2009. Electric load forecasting by support vector model. Applied Math. Mod., 33: 2444-2454.
Direct Link | - Hong, W.C., 2009. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model. Energy Conversion Manage., 50: 105-117.
Direct Link | - Hong, W.C., 2008. Rainfall forecasting by technological machine learning models. Applied Math. Comput., 200: 41-57.
CrossRef | - Hong, W.C. and C.Y. Lai, 2008. Reliability forecasting by recurrent support vector regression. Int. J. Artificial Intell. Soft Comput., 1: 114-129.
Direct Link | - Chiang, H.W., 2008. Competitiveness in the tourism sector: A comprehensive approach from economic and management points. Physica-Verlag. Heidelberg. Germany.ISBN:13: 978-3790820416.
- Pai, P.F. and W.C. Hong, 2007. A recurrent support vector regression model in rainfall forecasting. Hydrol. Process., 21: 819-827.
CrossRef | - Hong, W.C., Y.J. Lai, P.F. Pai and S.L. Yang, 2007. An improved support vector model in car-rental revenue forecast. J. Stat. Manage. Syst., 10: 427-437.
CrossRef | - Hong, W.C., S.Y. Wei and Y.F. Chen, 2007. A Comparative test of two employee turnover prediction models. Int. J. Manage., 24: 808-821.
Direct Link | - Hong, W.C., P.F. Pai, S.L. Yang and C.Y. Lai, 2007. Continuous ant colony optimization in a SVR urban traffic forecasting model. Lecture Notes Comput. Sci., 4507: 765-773.
- Hong, W.C., C.T. Chen, S.L. Lee, P.W. Chen and Y.H. Yeh, 2007. The development of a framework for selecting a management information system. Int. J. Manage., 24: 790-801.
Direct Link | - Hong, W.C. and P.F. Pai, 2007. Potential assessment of the support vector regression technique in rainfall forecasting. Water Resour. Manage., 21: 495-513.
CrossRef | - Pai, P.F., W.C. Hong, P.T. Chang and C.T. Chen, 2006. The application of support vector machines to forecast tourist arrivals in Barbados: An empirical study. Int. J. Manage., 23: 375-385.
Direct Link | - Pai, P.F., C.S. Lin, W.C. Hong and C.T. Chen, 2006. A hybrid support vector machine regression for exchange rate prediction. Int. J. Inform. Manage. Sci., 17: 19-32.
Direct Link | - Pai, P.F. and W.C. Hong, 2006. Software reliability forecasting by support vector machines with simulated annealing algorithms. J. Syst. Software, 79: 747-755.
Direct Link | - Hong, W.C. and P.F. Pai, 2006. Predicting engine reliability by support vector machines. Int. J. Adv. Manuf. Technol., 28: 154-161.
CrossRef | - Pai, P.F., W.C. Hong and Y.S. Lee, 2005. Determining parameters of support vector machines by genetic algorithms-applications to reliability prediction. Int. J. Operations Res., 2: 1-7.
- Pai, P.F., W.C. Hong and C.S. Lin, 2005. Forecasting tourism demand using a multifactor support vector machine model. Lecture Notes Comput. Sci., 3801: 512-519.
CrossRef | - Pai, P.F., W.C. Hong and C.S. Lin, 2005. Forecasting electric load by support vector machines with genetic algorithms. J. Adv. Computational Intell. Intell. Inform., 9: 134-141.
- Pai, P.F., P.T. Chang, K.P. Lin and W.C. Hong, 2005. Hybrid learning fuzzy neural models in stock price forecasting. J. Inform. Optimization Sci., 26: 495-508.
Direct Link | - Pai, P.F. and W.C. Hong, 2005. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion Manage., 46: 2669-2688.
- Pai, P.F. and W.C. Hong, 2005. Forecasting regional electric load based on recurrent support vector machines with genetic algorithms. Electric Power Syst. Res., 74: 417-425.
- Pai, P.F. and W.C. Hong, 2005. An improved neural network model in forecasting arrivals. Ann. Tourism Res., 32: 1138-1141.
- Hong, W.C., P.F. Pai, Y.Y. Huang and S.L. Yang, 2005. Application of support vector machines in predicting employee turnover based on job-performance. Lecture Notes Comput. Sci., 3610: 668-674.
- Hong, W.C., P.F. Pai, C.T. Chen and P.T. Chang, 2005. Recurrent support vector machines with genetic algorithms in reliability prediction. Lecture Notes Comput. Sci., 3610: 619-629.