職稱：副教授

姓名：吳瑞煜

學歷：元智大學工業工程與管理博士

研究領域：
 計算智慧、企業電子化、商業智慧、資訊管理應用

分機：#2200, #6509

E-mail：jywu@mail.lhu.edu.tw

ERP E-Learning & KM System Link
●Taiwanese Association for Artificial Intelligence, Permanent member (2005~Present)
●Chinese Enterprise Resource Planning Society, Permanent member (2007~Present)
●IEEE, member (2010~Present), IEEE Computational Intelligence Society Membership (2012~Present)
●第四屆社團法人學校財務協會理事(2026/10/3~2030/10/2)
●第三屆社團法人學校財務協會理事(2022/10/3~2026/10/2)

A. 期刊論文(Journal Papers)：

1.
Jui-Yu Wu*, “Hybrid Artificial Immune Algorithm and Multilayer Perceptron Classifier for Solving Credit Risk Evaluation Problems,” ICIC Express Letters-An International Journal of Research and Surveys, Vol. 8, No. 1, January 2014, pp. 251-256. (EI)
2.
Jui-Yu Wu*, “Solving Unconstrained Global Optimization Problems via Hybrid Swarm Intelligence Approaches,” Mathematical Problems in Engineering, doi:10.1155/2013/256180, Vol. 2013, Article ID 256180, March 2013, pp. 1-15. (SCIE/EI)NSC 100-2622-E-262-006-CC3
3.
Jui-Yu Wu*, “Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches,” Mathematical Problems in Engineering, doi:10.1155/2012/841410, Vol. 2012, Article ID 841410, August 2012, pp. 1-36. (SCIE/EI) NSC 100-2622-E-262-006-CC3
4.
Jui-Yu Wu*, “Solving Constrained Global Optimization via Artificial Immune System,” International Journal on Artificial Intelligence Tools, Vol. 20, No. 1, February 2011, pp. 1-27. (SCIE/EI)
5.
Chi-Jie Lu, Jui-Yu Wu*, “An efficient CMAC neural network for stock index forecasting,” Expert Systems With Applications, doi:10.1016/j.eswa.2011.05.082, Vol. 38, No. 12, November/December 2011, pp. 15194-15201. (SCI/EI) NSC98-2221-E-262-014-
6.
Jui-Yu Wu*, “MIMO CMAC Neural Network Classifier for Solving Classification Problems,”Applied Soft Computing Journal, Vol. 11, No. 2, March 2011, pp. 2326-2333. doi:10.1016/j.asoc.2010.08.013. (SCI/EI)
7.
Jui-Yu Wu*, “Advanced simulated annealing for solving constrained global optimization problems,” Far East Journal of Experimental and Theoretical Artificial Intelligence (FEJETAI), Special Issue on Selected Papers from 13th Conference on Artificial Intelligence and Applications (TAAI 2008), Vol. 3, No. 2, May 2009, pp. 143-168.
8.
Jui-Yu Wu*, Yun-Kung Chung “Real-coded genetic algorithm for solving generalized polynomial programming problems,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Special Issue on Selected Papers from 10th Conference on Artificial Intelligence and Applications (TAAI 2005), Vol. 11, No. 4, April 2007, pp. 358-364.

B. 會議論文 (Conferemce Papers)：

1.
Jui-Yu Wu* (2025) “A Training Scheme Using an Open-Sourced Odoo Enterprise Resource Planning System with Artificial Intelligence-Enabled Solution,” 2025 IEEE International Conference on Computation, Big-Data and Engineering (ICCBE), Penang, Malaysia, 2025, pp. 106-111.
2.
Jui-Yu Wu*, Pei-Ci Liu (2022) “Identifying a Default of Credit Card Clients by Using a LSTM Method: A Case Study,” 8th International Conference on Artificial Intelligence (ARIN 2022), June 18-19, Sydney, Australia, pp. 157-166, 2022. CS & IT - CSCP.
3.
Jui-Yu Wu*, You-Ting Chien (2021) “Applying a Long Short-Term Memory Approach to a Chaotic Time Series Problem – A Case Study,” The 35th Annual Conference of the Japanese Society for Artificial Intelligence 2021 (JSAI 2021),2021, Japan, June 8–11.
4.
Jui-Yu Wu*, Li-Ting Chen (2020) “Odoo ERP with Business Intelligence Tool for a Small-Medium Enterprise: A Scenario Case Study,” 2020 the 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E 2020), Osaka, Japan, January 10 to 12, pp. 324-327. (indexed by EI compendex)
5.
Jui-Yu Wu* (2017) “A Novel Hybrid Computational Intelligence Approach for Solving General Constrained Global Optimization Problems,” 4th International Conference on Computational Science/ Intelligence & Applied Informatics (CSII 2017), Hamamatsu, Japan, July 9-13, 2017, pp. 109-114.
6.
Jui-Yu Wu* (2016) “An Evolutionary Multi-layer Perceptron Neural Network for Solving Unconstrained Global Optimization Problems,” 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016), Okayama, Japan, June 26-29, 2016, pp. 241-246.
7.
Jui-Yu Wu*(2015), Ming-Der May, Che-Chi Yang, “A Moodle-based E-learning Framework to Conduct the Manipulation Skill Training for an Enterprise Resource Planning System,” The 2015 IEEE 7th International Conference on Engineering Education (ICEED 2015), Kanazawa, Japan, 17-18 November, 2015, pp. 118-123.
8.
Jui-Yu Wu*(2015), “An Improved Quantum-behaved Particle Swarm Optimization Method for Solving Constrained Global Optimization Problems,” The 15th International Symposium on Communications and Information Technologies (ISCIT 2015), Nara, Japan, 7-9 October, 2015, pp. 157-160.
9.
Jui-Yu Wu*,“An Improved Quantum-behaved Particle Swarm Optimization based Multilayer Perceptron Classifier for Medical Data Classification,” The 15th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS 2014), Jejy, Korea, 12-15 October, 2014, pp. 2219-2224.
10.
Jui-Yu Wu*,“Hybrid Real-coded Genetic Algorithm and MIMO CMAC NN Classifier for Solving Medical Data Classification Problems,” 2013 International Conference on Brain Inspired Cognitive Systems (published in Lecture Notes in Artificial Intelligence, Springer), Beijing, China, 9-11 June, 2013, Vol. 7888, pp. 46-56. (EI)
11.
Jui-Yu Wu*,“Stochastic Global Optimization Method for Solving Constrained Engineering Design Optimization Problems,” The Sixth International Conference on Genetic and Evolutionary Computing, Kitakyushu, Japan, 25-28 August, 2012, pp. 404-408. (EI) NSC 100-2622-E-262-006-CC3
12.
Jui-Yu Wu*,“Hybrid Artificial Immune Algorithm and Particle Swarm Optimization for Solving Unconstrained Global Optimization Problems,” The 2012 International Symposium on Computer, Consumer and Control, Taichung, Taiwan, 4-6 June, 2012, pp. 40-43. (EI) NSC 100-2622-E-262-006-CC3
13.
Jui-Yu Wu*, “Hybrid Artificial Immune Algorithm and CMAC Neural Network Classifier for Supporting Business and Medical Decision Making,” The Seventh International Conference on Advanced Data Mining and Applications (ADMA 2011) (published in Lecture Notes in Computer Science, Springer), Beijing, China, December 17-19, 2011, Vol. 7121, pp. 41-54.(EI)
14.
Jui-Yu Wu*, “Self-Organizing Polynomial Neural Network for Forecasting Chaotic Time Series: Comparison Results,” 2011 International Conference on Computer Science and Education (published in Communications in Computer and Information Science, Springer), Qingdao, China, July 9-10, 2011, pp. 500-510. (ISSN:1865-0929; ISBN:978-3-642-22417-1) (EI) NSC97-2218-E-262-002- and NSC98-2221-E-262-014-
15.
Jui-Yu Wu*, “Integrated Real-Coded Genetic Algorithm and Particle Swarm Optimization for Solving Constrained Global Optimization Problems ,” 2011 International Conference on Computer Science and Education, (published in Communications in Computer and Information Science, Springer), Qingdao, China, July 9-10, 2011, pp. 511-522. (ISSN:1865-0929) (EI)
16.
Jui-Yu Wu*, “Forecasting Chaotic Time Series Using an Artificial Immune System Algorithm-based BPNN,” The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010), Workshop on Theory and Applications of Evolutionary Algorithms, Hsinchu, Taiwan, 18-20 November, 2010, pp. 524-531. (ISBN:978-0-7695-4253-9)(EI)
17.
Jui-Yu Wu*, “Real-coded Genetic Algorithm-based Particle Swarm Optimization Method for Solving Unconstrained Optimization Problems,” The 2010 International Conference on Electronics and Information Engineering (ICEIE 2010), Kyoto, Japan, 1-3 August, 2010, Vol. 1, 194-198. (ISBN:978-1-4244-7680-0) (EI)
18.
Jui-Yu Wu*,“Computational Intelligence-based Intelligent Business Intelligence System: Concept and Framework,”The 2nd International Conference on Computer and Network Technology (ICCNT 2010), Bangkok, Thailand, 23-24 April, 2010, pp. 334-338. (ISBN:978-0-7695-4042-9) (EI)