教師研究成果-謝昇達 主任
期刊論文 |
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專利或技術移轉 |
謝昇達, “類流感疾病診斷輔助系統”,中華民國-發明第I529652號,105年。 |
專書 |
Tsung-Ying Sun*, Chan-Cheng Liu, Chun-Ling Lin, Sheng-Ta Hsieh, and Cheng-Sen Huang, “A Radial Basis Function Neural Network with Adaptive Structure via Particle Swarm Optimization,” Chapter 26, Particle Swarm Optimization, Edited by Alexander Zemliak, I-Tech, pp. 423-436, Jan. 2009. |
研討會論文 |
International Conference Papers
1. Sheng-Ta Hsieh* and Chun-Ling Lin, “An Improved Artificial Bee Colony for Solving Multi-objective Optimization Problems,” is submitted to 2016 2th International Conference on Robotics and Automation Sciences (ICRAS 2016), Taipei, Taiwan, 2016. 2. Sheng-Ta Hsieh and Chun-Ling Lin*, “An Intelligent Diagnosis Flu System based on Adaptive Neuro-Fuzzy Classifier,” in proc. of The Third International Symposium on Computing and Networking (CANDAR 2015), pp. 547-550, Sapporo, Japan, Dec. 8-11, 2015. 3. Chun-Ling Lin, Sheng-Ta Hsieh* and Shih-Yuan Chiu, “Efficient Exploration Strategies for Artificial Bee Colony,” in proc. of The Third International Symposium on Computing and Networking (CANDAR 2015), pp. 309-313, Sapporo, Japan, Dec. 8-11, 2015. 4. Sheng-Ta Hsieh*, Chun-Ling Lin and Shih-Yuan Chiu, “Artificial Bee Colony with Enhanced Food Source Search Strategies,” in proc. of International Conference on Applied System Innovation (ICASI 2015), Osaka, Japan, May 22-27, 2015. 5. Chun-Ling Lin, Huang-Lyu Wu and Sheng-Ta Hsieh*, “Competition based Differential Evolution for Global Numerical Optimization,” in proc. of International Conference on Applied System Innovation (ICASI 2015), Osaka, Japan, May 22-27, 2015. 6. Sheng-Ta Hsieh and Chun-Ling Lin*, “Work-In-Progress: An intelligent diagnosis influenza system based on adaptive neuro‐fuzzy inference system,” in proc. of 1st International Conference on Industrial Networks and Intelligent Systems (INISCom 2015), pp. 177-180, Tokyo, Japan, Mar. 2-4, 2015. 7. Chun-Ling Lin, Sheng-Ta Hsieh* and Shih-Yuan Chiu, “Work-In-Progress: Adaptive Population Artificial Bee Colony for Numerical Optimization,” in proc. of 1st International Conference on Industrial Networks and Intelligent Systems (INISCom 2015), pp. 168-171, Tokyo, Japan, Mar. 2-4, 2015. 8. Chun-Ling Lin, Sheng-Ta Hsieh*, Huang-Lyu Wu and Tse Su, “Robust Differential Evolution for solving Numerical Optimization Problems,” in proc. of 1st International Conference on Industrial Networks and Intelligent Systems (INISCom 2015), pp. 122-125, Tokyo, Japan, Mar. 2-4, 2015. 9. Sheng-Ta Hsieh*, Chun-Ling Lin and Shih-Yuan Chiu, “Adaptive mutation strategies and population for Differential Evolution,” in proc. of International Symposium on Artificial and Robotics.(AROB 19th ’14), pp. 854-858, Beppu, Oita, Japan, Jan. 22-24, 2014. 10. Chun-Ling Lin, Sheng-Ta Hsieh* and Jhih-Sian Chen, “Artificial Bee Colony Algorithm with Dimension Manager for Global Numerical Optimization,” in proc. of International Symposium on Artificial and Robotics.(AROB 19th ’14), pp. 867-871, Beppu, Oita, Japan, Jan. 22-24, 2014. 11. Sheng-Ta Hsieh*, Huang-Lyu Wu and Tse Su, “Dual Mutation Strategies and Dual Crossover Strategies for Differential Evolution,” in Proc. of 4th International Workshop on Advances in Networking and Computing, pp. 577-581, Matsuyama, Japan, Dec. 4-6, 2013. 12. Sheng-Ta Hsieh*, Tse Su and Huang-Lyu Wu “An Improved Differential Evolution with Efficient Parameters Adjustment,” in Proc. of 4th International Workshop on Advances in Networking and Computing, pp. 627-629, Matsuyama, Japan, Dec. 4-6, 2013. 13. Chun-Ling Lin, Sheng-Ta Hsieh* and You-Jhong Hu, “Fuzzy Neural Network-Based Influenza Diagnostic System,” in Proc. of 4th International Workshop on Advances in Networking and Computing, pp. 633-635, Matsuyama, Japan, Dec. 4-6, 2013. 14. Sheng-Ta Hsieh* and, Bo-Han, “Competition-based Particle Swarm Optimizer for solving Numerical Optimization Problems,” in Proc. of International Symposium on Artificial and Robotics.(AROB 18th ’13), pp. 608-611, Daejeon, Korea, Jan. 30-Feb.1, 2013. 15.Sheng-Ta Hsieh*, Huang-Lyu Wu and Tse Su, “Elitist Differential Evolution for solving Numerical Optimization Problems,” in Proc. of International Symposium on Artificial and Robotics.(AROB 18th ’13), pp. 612-615, Daejeon, Korea, Jan. 30-Feb.1, 2013. 16.Sheng-Ta Hsieh* and Jhih-Sian Chen, “Artificial Bee Colony Algorithm with Crossover Strategy for Global Numerical Optimization,” in Proc. of International Symposium on Artificial and Robotics.(AROB 18th ’13), pp. 616-619, Daejeon, Korea, Jan. 30-Feb.1, 2013. 17. Sheng-Ta Hsieh*, Shih-Yuan Chiu and Shi-Jim Yen, “Adoptive Population Differential Evolution with Local Search for Solving Large Scale Global Optimization,” in Proc. of The 2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2012), pp. 1090-1094, COEX, Seoul, Korea, Oct. 14-17, 2012. 18. Sheng-Ta Hsieh*, Chih-Dao Chen, Jun-Horng Chen, Chin-Lun Lai and Yu-Long Syu, “An Expert System Application for Respiratory Infection Diagnostic,” in Proc. of The 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012), pp. 673-678, Fukuoka, Japan, Sep. 4-7, 2012. 19. Teng-Hui Tseng, Chin-Lun Lai*, Sheng-Ta Hsieh, Jun-Horng Chen, “An intelligent accessing control system based on human intention analysis,” in Proc. of The 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012), pp. 337-347, Fukuoka, Japan, Sep. 4-7, 2012. 20. Jun-Horng Chen*, Teng-Hui Tseng, Chin-Lun Lai, Sheng-Ta Hsieh, “An intelligent virtual fence security system for the detection of people invading,” in Proc. of The 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012), pp. 786-791, Fukuoka, Japan, Sep. 4-7, 2012. 21. Sheng-Ta Hsieh*, Shih-Yuan Chiu and Shi-Jim Yen, “An Improved Differential Evolution for solving Large Scale Global Optimization,” in Proc. of International Symposium on Artificial and Robotics.(AROB 17th ’12), pp. 1169-1170, Beppu, Oita, Japan, Jan. 19-21, 2012. 22. Shi-Jim Yen, Shih-Yuan Chiu and Sheng-Ta Hsieh*, “Genetic Algorithm with Cross Paths Detection for Solving Traveling Salesman Problems,” in Proc. of International Symposium on Artificial and Robotics. (AROB 17th ’12), pp. 1155-1156, Beppu, Oita, Japan, Jan. 19-21, 2012. 23. Sheng-Ta Hsieh*, Shih-Yuan Chiu, and Shi-Jim Yen, “Sharing Mutation Genetic Algorithm for Solving Multi-objective Optimization Problems,” in Proc. of 2011 IEEE Congress on Evolutionary Computation (CEC 2011), pp. 1833-1839, New Orleans, USA, Jun. 5-8, 2011. (NSC 99-2221-E-161-008) 24. Sheng-Ta Hsieh*, “RFID medical information system: A system implementation on MSP430 platform,” in Proc. of 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), pp. 1-4, Xianning, China, Apr. 16-18, 2011. 25. Sheng-Ta Hsieh*, Shih-Yuan Chiu, and Shi-Jim Yen, “An improved Multi-Objective Genetic Algorithm for Solving Flexible Job Shop Problem,” in Proc. of The IET International Conference on Frontier Computing-Theory, Technology and Applications, pp. 427-431, Taichung, Taiwan, Aug. 4-6, 2010. 26. Chan-Cheng Liu, Sheng-Ta Hsieh*, and Wei-Chih Huang, “Evolutionary Noise Reduction Based on Correlation Evaluation,” in Proc. of The IET International Conference on Frontier Computing-Theory, Technology and Applications, pp. 411-415, Taichung, Taiwan, Aug. 4-6, 2010. 27. Tsung-Ying Sun*, Chan-Cheng Liu, Yu-Peng Jheng, Jyun-Hong Jheng, and Sheng-Ta Hsieh, “Blind image deconvolution via particle swarm optimization with entropy evaluation,” in Proc. of International Conference on Intelligent Systems Design and Applications (ISDA), pp. 265-270, Kaohsiung City, Taiwan, Nov. 26-28, 2008. 28. Tsung-Ying Sun*, Chan-Cheng Liu, Tsung-Ying Tsai, Jyun-Hong Jheng, and Sheng-Ta Hsieh, “Threshold exploration via particle swarm optimizer at profitable wavelet decomposition for noise reduction,” in Proc. of IEEE Conference on System, Man, and Cybernetics (IEEE SMC 2008), pp. 2652-2657, Singapore, Oct. 12-15, 2008. 29. Tsung-Ying Sun*, Wun-Ci Wu, Shang-Jeng Tsai, Chan-Cheng Liu, Shih-Yuan Chiu, and Sheng-Ta Hsieh, “Particle swarm optimizer for multi-objective problems based on proportional distribution and cross-over operation,” in Proc. of IEEE Conference on System, Man, and Cybernetics (IEEE SMC 2008), pp. 2658-2663, Singapore, Oct. 12-15, 2008. 30. Sheng-Ta Hsieh*, Tsung-Ying Sun, Chan-Cheng Liu, and Chun-Ling Lin, “Sharing Evolution Genetic Algorithm for Global Numerical Optimization,” in Proc. of 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia/08), pp. 326-331, Muroran Hokkaido, Japan, Jun. 25-28, 2008. 31. Tsung-Ying Sun*, Chan-Cheng Liu, Sheng-Ta Hsieh, Tsung-Ying Tsai, and Jyun-Hong Jheng, “Optimal Determination of Wavelet Threshold and Decomposition Level via Heuristic Learning for Noise Reduction,” in Proc. of 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia/08) , pp. 405-410, Muroran Hokkaido, Japan, Jun. 25-28, 2008. 32. Sheng-Ta Hsieh*, Tsung-Ying Sun, Chan-Cheng Liu, and Shang-Jeng Tsai, “Solving Large Scale Global Optimization Using Improved Particle Swarm Optimizer,” in Proc. of 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), pp. 1777-1784, Hong Kong, June 1-6, 2008. 33. Tsung-Ying Sun*, Chan-Cheng Liu, Tsung-Ying Tsai, and Sheng-Ta Hsieh, “Adequate Determination of a Band of Wavelet Threshold for Noise Cancellation Using Particle Swarm Optimization,” in Proc. of 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), pp. 1168-1175, Hong Kong, June 1-6, 2008. 34. Shih-Yuan Chiu, Sheng-Ta Hsieh, Tsung-Ying Sun*, and Cheng-Wei Lin, “Cross-Searching Strategy for Multi-objective Particle Swarm Optimization,” in Proc. of IEEE Congress on Evolutionary Computation 2007 (CEC 2007), pp. 3135-3141, Singapore, Sep. 25-28, 2007. 35. Sheng-Ta Hsieh, Tsung-Ying Sun*, Shih-Yuan Chiu, and Pe-Dan Chang, “Multi-Objective Particle Swarm Optimization for Embedded Systems Design,” in Proc. of 8th International Symposium on advanced Intelligent Systems (ISIS 2007), pp. 217-220, Sokcho City, Korea , Sep. 5-8, 2007. 36. Chan-Cheng Liu, Kan-Yuan Li, Tsung-Ying Sun*, Sheng-Ta Hsieh, and Shang-Jeng Tsai, “A Robust Blind Sparse Source Separation Algorithm Using Genetic Algorithm to Identify Mixing Matrix,” in Proc. of IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2007), pp. 289-294, Innsbruck, Austria, Feb. 14-16, 2007. 37. Sheng-Ta Hsieh, Tsung-Ying Sun*, Jian-Ming Chen, Chan-Cheng Liu, and Shang-Jeng Tsai, “Genetic Algorithm: A Seesaw Method for Generating Offspring,” in Proc. of IASTED International Conference on Modeling, Identification and Control (MIC 2007), pp. 477-481, Innsbruck, Austria, Feb. 12-14, 2007. 38. Sheng-Ta Hsieh, Tsung-Ying Sun*, Shih-Yuan Chiu, Chan-Cheng Liu, and Cheng-Wei Lin, “Cluster Based Solution Exploration Strategy for Multi-objective Particle Swarm Optimization,” in Proc. of IASTED International Conference on Artificial Intelligence and Applications (AIA 2007), pp. 295-300, Innsbruck, Austria, Feb. 12-14, 2007. 39. Chan-Cheng Liu, Tsung-Ying Sun*, Kan-Yuan Li, Sheng-Ta Hsieh, and Shang-Jeng Tsai, “Blind Sparse Source Separation Using Cluster Particle Swarm Optimization Technique,” in Proc. of IASTED International Conference on Artificial Intelligence and Applications (AIA 2007), pp. 82-87, Innsbruck, Austria, Feb. 12-14, 2007. 40. Chan-Cheng Liu, Tsung-Ying Sun*, Sheng-Ta Hsieh, Chun-Ling Lin, and Kan-Yuan Lee “A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-forward Neural Network,” in Proc. of 13th International Conference on Neural Information Processing (ICONIP2006), Lecture Notes in Computer Science, LNCS 4232, pp. 1078-1087, Springer-Verlag, Oct. 2006. 41. Sheng-Ta Hsieh, Tsung-Ying Sun*, Cheng-Wei Lin, and Chun-Ling Lin “Placement Constraints and Macrocell Overlap Removal Using Particle Swarm Optimization,” in Proc. of 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, Lecture Notes in Computer Science, LNCS 4150, pp. 235-246, Springer-Verlag, Sep. 2006. 42. Chun-Ling Lin, Sheng-Ta Hsieh, Tsung-Ying Sun*, and Chan-Cheng Liu, “Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network,” in Proc. of 2006 International Joint Conference on Neural Networks (IJCNN 2006), pp. 9879-9884, Vancouver, Canada, July 16-21, 2006. 43. Sheng-Ta Hsieh, Tsung-Ying Sun*, Jian-Ming Chen, and Cheng-Wei Lin “Efficient Task Scheduling for Heterogeneous Multiprocessors Using Particle Swarm Optimization,” in Proc. of 2006 IEEE Swarm Intelligence Symposium (SIS’06), Indianapolis, USA, May 12-14, 2006. 44. Tsung-Ying Sun*, Sheng-Ta Hsieh, Hsiang-Min Wang, and Cheng-Wei Lin, “Floorplanning Based on Particle Swarm Optimization,” in Proc. of IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 7-11, Karlsruhe, Germany, Mar. 2-3, 2006. 45. Chun-Ling Lin, Sheng-Ta Hsieh, Tsung-Ying Sun*, and Chan-Cheng Liu, “PSO-Based Learning Rate Adjustment for Blind Source Separation,” in Proc. of 2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPAC 2005), pp. 181-184, Hong Kong, Dec. 13-16, 2005. 46. Tsung-Ying Sun*, Sheng-Ta Hsieh, and Cheng-Wei Lin, “Particle swarm optimization Incorporated with disturbance for improving the efficiency of macrocell overlap removal and placement,” in Proc. of The 2005 International Conference on Artificial Intelligence (ICAI’05), pp. 122-125, Las Vegas, Nevada, U.S.A., June 27-30, 2005. 47. Sheng-Ta Hsieh, Cheng-Wei Lin, and Tsung-Ying Sun*, “Particle Swarm Optimization for Macrocell Overlap Removal and Placement,” in Proc. of 2005 IEEE Swarm Intelligence Symposium (SIS’05), pp. 177-180, Pasadena, CA, U.S.A., June 8-10, 2005.
Local Conference Papers
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