尹邦嚴


兼任教授
研究室
校內分機
電子郵件 pyyin@ncnu.edu.tw
實驗室
學期課程
  • 機器學習
  • 演化式計算
  • 生物資訊
  • 國立交通大學資訊科學博士
  1. Benjamin Shao, Peng-Yeng Yin and Andrew Chen, “Organizing Knowledge Workforce for Specified Iterative Software Development Tasks,” to appear in Decision Support Systems 2013.10.4 (SSCI).
  2. Peng-Yeng Yin and Hsi-Li Wu “Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming,” Mathematical Problems in Engineering, Volume 2013, Article ID 132697, 11 pages, 2013. doi:10.1155/2013/132697 (SCIE). (NSC 98-2410-H-260-018-MY3)
  3. Peng-Yeng Yin, Ray-I Chang, Chih-Chiang Chao and Yen-Ting Chu “Niched Ant Colony Optimization with Colony Guides for QoS Multicast Routing,” to appear in Journal of Network and Computer Applications, accepted on 2013.8.20 (SCI). (NSC 98-2410-H-260-018-MY3)
  4. B.M.T. Lin, Peng-Yeng Yin and Y.S. Liu “Sequence-Dependent Scheduling with Order Delivery,” Applied Mathematics and Computation 222(24), 1 October 2013, 58-71 (SCI). (NSC 101-2410-H-260 -004 -MY2)
  5. Peng-Yeng Yin and Yi-Ming Guo “Optimization of Multi-Criteria Website Structure based on Enhanced Tabu Search and Web Usage Mining,” Applied Mathematics and Computation 219(24), 15 August 2013, 11082-11095 (SCI). (NSC 98-2410-H-260-018-MY3)
  6. Peng-Yeng Yin and Ya-Tzu Chiang “Cyber Swarm Algorithms for Multi-Objective Nurse Rostering Problem,” International Journal of Innovative Computing, Information and Control 9(5), May 2013, 2043-2063 (SCI). (NSC 98-2410-H-260-018-MY3)
  7. Peng-Yeng Yin and Tai-Yuan Wang “A GRASP-VNS Algorithm for Optimal Wind Turbine Placement in Wind Farms,” Renewable Energy 48, December 2012, 489-498 (SCI).
  8. Peng-Yeng Yin, Shyong-Jian Shyu, Shih-Ren Yang, and Yu-Chung Chang, “Reinforcement Learning for Improving Gene Identification Accuracy by Combination of Gene-Finding Programs”, International Journal of Applied Metaheuristic Computing 3(1), 2012, 34-47.
  9. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, “A complementary cyber swarm algorithm”, International Journal of Swarm Intelligence Research 2(2), 2011, 22-41 (NSC 98-2410-H-260-018-MY3).
  10. Peng-Yeng Yin and En-Ping Su, “Cyber Swarm Optimization for General Keyboard Arrangement Problem”, International Journal of Industrial Ergonomics 41(1), 2011, 43-52 (NSC 98-2410-H-260-018-MY3) (SCI).
  11. Gwo-Jen Hwang, Fan-Ray Kuo, Peng-Yeng Yin, and Kuo-Hsien Chuang, “A Heuristic Algorithm for Planning Personalized Learning Paths for Context-Aware Ubiquitous Learning,” Computers & Education 54, 2010, 404-415 (SSCI).
  12. Peng-Yeng Yin and Yi-Min Liu, “Adaptive relevance feedback model selection for content-based image retrieval”, The Imaging Science Journal 58(1), February 2010, 37-48 (NSC 96-2221-E-260-015-MY2) (SCI).
  13. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, “Cyber swarm algorithms – improving particle swarm optimization using adaptive memory strategies,” European Journal of Operational Research 201(2), 1 March, 2010, 377-389 (NSC 98-2410-H-260-018-MY3) (SCI).
  14. Tsu-Feng Ho, Peng-Yeng Yin, Gwo-Jen Hwang, Shyong Jian Shyu and Ya-Nan Yean, “Multi-objective parallel test-sheet composition using enhanced particle swarm optimization,” Educational Technology and Society 12(4), 2009, 193-206 (SSCI).
  15. Peng-Yeng Yin, Benjamin B. M. Shao, Yung-Pin Cheng, and Chung-Chao Yeh, “Metaheuristic algorithms for task assignment in distributed computing systems: a comparative and integrative approach,” The Open Artificial Intelligence Journal 3, 2009, 16-26 (NSC 96-2221-E-260-015-MY2).
  16. Chin-Sheng Chen, Chun-Wei Yeh and Peng-Yeng Yin, “A novel fourier descriptor based image alignment algorithm for automatic optical inspection,” Journal of Visual Communication and Image Representation 20(3), 2009, 178-189 (SCI).
  17. Peng-Yeng Yin and Chin-Wen Liu, “A new relevance feedback technique for iconic image retrieval based on spatial relationships,” Journal of Systems and Software 82(4), April 2009, 685-696 (NSC 95-2221-E-260-026) (SCI).
  18. Gwo-Jen Hwang, Hui-Chun Chu, Peng-Yeng Yin, and Ji-Yu Lin, “An innovative parallel test-sheet composition approach to meet multiple assessment criteria for national tests,” Computers & Education 51 (3), November, 2008, 1058-1072 (SSCI).
  19. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong, “Long term cross-session relevance feedback using virtual features,” IEEE Trans. on Knowledge and Data Engineering 20 (3), March 2008, 300-320 (NSC 92-2213-E-260-021) (SCI, EI).
  20. Gwo-Jen Hwang, Peng-Yeng Yin, Chi-Wei Hwang and Chin-Chung Tsai, “An enhanced genetic approach to composing cooperative learning groups for multiple grouping criteria,” Educational Technology and Society 11 (1), 2008, 148-167 (SSCI).
  21. Gwo-Jen Hwang, Peng-Yeng Yin, Judy C.R. Tseng and Gwo-Haur Hwang, “An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system,” Computers & Education 51 (1), August, 2008, 337-353 (SSCI).
  22. Peng-Yeng Yin and Jing-Yu Wang, “Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique,” Journal of Computational and Applied Mathematics 216 (1), June 2008, 73-86 (NSC 96-2221-E-260-015-MY2) (SCI).
  23. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization,” Journal of Systems and Software 80 (5), May 2007, 724-735 (NSC 96-2221-E-260-015-MY2) (SCI).
  24. Peng-Yeng Yin, “Multilevel minimum cross entropy threshold selection based on particle swarm optimization,” Applied Mathematics and Computation 184 (2), 2007, 503-513 (NSC 96-2221-E-260-015-MY2) (SCI).
  25. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Multi-Objective Task Allocation in Distributed Computing Systems by Hybrid Particle Swarm Optimization,” Applied Mathematics and Computation 184 (2), 2007, 407-420 (NSC 96-2221-E-260-015-MY2) (SCI).
  26. Peng-Yeng Yin and Shin-Hwei Li, “Content-based image retrieval using association rule mining with soft relevance feedback,” Journal of Visual Communication and Image Representation 17 (5), 2006, 1108-1125 (NSC 94-2213-E-260-020) (SCI).
  27. Peng-Yeng Yin, Gwo-Jen Hwang, Kuang-Cheng Chang, Gwo-Haur Hwang, and Ying Chan, “A particle swarm optimization approach to composing serial test sheets for multiple assessment criteria,” Educational Technology and Society 9 (3), 2006, 3-15 (SSCI).
  28. Gwo-Jen Hwang, Peng-Yeng Yin, and Shu-Heng Yeh, “A tabu search approach to generating test sheets for multiple assessment criteria,” IEEE Trans. on Education 49 (1), 2006, 88-97 (SCI).
  29. Peng-Yeng Yin and Jing-Yu Wang, “A particle swarm optimization approach to the nonlinear resource allocation problem,” Applied Mathematics and Computation 183, 2006, 232-242. (NSC 90-2213-E-130-006) (SCI).
  30. Peng-Yeng Yin, “Genetic particle swarm optimization for polygonal approximation of digital curves,” Pattern Recognition and Image Analysis 16 (2), 2006, 223-233 (NSC 90-2213-E-130-006).
  31. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems,” Computer, Standard and Interfaces 28, 2006, 441-450 (NSC 90-2213-E-130-006) (SCI, EI).
  32. Peng-Yeng Yin and Jing-Yu Wang, “Ant colony optimization for the nonlinear resource allocation problem,” Applied Mathematics and Computation 174, 2006, 1438-1453 (NSC 90-2213-E-130-006) (SCI).
  33. Peng-Yeng Yin, “Particle swarm optimization for point pattern matching,” Journal of Visual Communication and Image Representation 17 (1), 2006, 143-162 (NSC 90-2213-E-130-006) (SCI, EI).
  34. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong, “Integrating relevance feedback techniques for image retrieval using reinforcement learning,” IEEE Trans. on Pattern Analysis and Machine Intelligence 27 (10), 2005, 1536-1551 (NSC 93-2213-E-260-016) (SCI, EI).
  35. Peng-Yeng Yin, “A discrete particle swarm algorithm for optimal polygonal approximation of digital curves,” Journal of Visual Communication and Image Representation 15, 2004, 241-260 (NSC 90-2213-E-130-006) (SCI, EI)
  36. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and T. S. Hsiao, “An ant colony optimization algorithm for the minimum weight vertex cover problem,” Annals of Operations Research 131, 2004, 283-304 (NSC 90-2213-E-130-006) (SCI)
  37. Peng-Yeng Yin, “Ant colony search algorithm for optimal polygonal approximation of plane curves,” Pattern Recognition 36, 2003, 1783-1797. (NSC 90-2213-E-130-006) (SCI, EI)
  38. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and M. Haouari, “Ant-Tree: An ant colony optimization approach to the generalized minimum spanning tree problem” Journal of Experimental and Theoretical Artificial Intelligence 15, 2003, 103-112. (NSC 90-2213-E-130-006) (SCI)
  39. Peng-Yeng Yin, “Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization,” Signal Processing 82, 2002, 993-1006. (NSC 91-2213-E-260-027) (SCI, EI)
  40. Peng-Yeng Yin and Cheng-Chung Yeh, “Content-based retrieval from trademark databases,” Pattern Recognition Letters 23, 2002, 113-126. (NSC 87-2213-E-130-001) (SCI, EI)
  41. Peng-Yeng Yin, “Skew detection and block classification of printed documents,” Image and Vision Computing 19, 2001, 567-579. (NSC 89-2218-E-130-006) (SCI, EI)
  42. Peng-Yeng Yin and Yen-Bo Huang, “Automating data extraction and identification of Chinese road maps,” Optical Engineering 40, 2001, 663-673. (NSC 89-2218-E-130-006) (SCI, EI)
  43. Peng-Yeng Yin, “A tabu search approach to the polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 14 , Jan 2000 , 243-255. (NSC 88-2213-E-130-002) (SCI, EI)
  44. Peng-Yeng Yin, “Genetic algorithms for polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 13 , Dec 1999 , 1-22. (NSC 88-2213-E-130-002) (SCI, EI)
  45. Peng-Yeng Yin, “A new circle/ellipse detector using genetic algorithms,” Pattern Recognition Letters 20, 1999, 731-740. (NSC 89-2213-E-130-002) (SCI, EI)
  46. Peng-Yeng Yin, Polygonal approximation using genetic algorithms, Lecture Notes in Computer Science 1689, 1999, pp. 175-182. (NSC 88-2213-E-130-002) (SCI)
  47. Peng-Yeng Yin, “A fast scheme for optimal thresholding using genetic algorithms, “ Signal Processing 72, 1999, 85-95. (NSC 88-2213-E-130-002) (SCI, EI)
  48. Peng-Yeng Yin, “A new method for polygonal approximation using genetic algorithms,“ Pattern Recognition Letters 19, 1998, 1017-1026. (NSC 88-2213-E-130-002) (SCI, EI)
  49. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Pattern Recognition Letters 19, 1998, 31-41. (NSC 86-2621-E-130-002-T) (SCI, EI)
  50. Peng-Yeng Yin and Ling-Hwei Chen, “A New Itrerative Scheme for Multilevel Thresholding,” Signal Processing 6, 1997, 305-311. (NSC 88-2213-E-130-002) (SCI, EI)
  51. Peng-Yeng Yin and Ling-Hwei Chen, “A New Non-Iterative Clustering Approach,” Pattern Recognition Letters 15, 1994, 125-133. (SCI, EI)
  52. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Ellipse Detection by Means of Symmetry,” Journal of Electronic Imaging 3, 1994, 20-29. (SCI)
  53. Peng-Yeng Yin, Ling-Hwei Chen, “Random-Sampling Thresholding: A New Approach to Multilevel Thresholding,” Signal Processing 34, 1993, 311-322. (SCI)
  54. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Multilevel Thresholding Using the Symmetry And the Duality of the Histogram,” Journal of Electronic Imaging 2,1993, 337-344. (SCI)
  55. Ling-Hwei Chen, Peng-Yeng Yin, “A System for On-Line Recognition of Handwritten Mathematical Expressions,” Computer Processing of Chinese and Oriental Languages 6, 1992, 19-39.
  1. Peng-Yeng Yin and Pei-Pei Wang, A Cyber Swarm Algorithm for Constrained Program Module Allocation Problem, Proceedings of The Fifth International Conference on Knowledge and Systems Engineering (KSE 2013), October 17-19, 2013, Ha Noi, Vietnam.
  2. Rong-Fuh Day, Peng-Yeng Yin* and Yu-Chi Wang, Recognizing Decision Strategies Based on Eye-Movement Data Clustering, Proceedings of The Eighth International Conference on Innovative Computing, Information and Control (ICICIC2013), September 14-17, 2013, Kumamoto, Japan.
  3. Peng-Yeng Yin, Kuang-Cheng Chang, Ya-Nan Yean, Swarm Algorithms to Automatic Test-Sheet Generation for Nation-Wide Examinations, Proceedings of The 2013 International Conference on Business and Information (BAI2013), July 7-9, 2013, Bali, Indonesia.
  4. Peng-Yeng Yin, Scatter Search for Point Pattern Matching: A Comparative Study, Proceedings of the 8th International Conference on Natural Computation and the 9th International Conference on Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2012), 29-31 May, 2012, Chongqing, China.
  5. Peng-Yeng Yin and Jing-Yu Wang, Efficient Swarm Algorithms to Constrained Resource Allocation, Proceedings of the International Conference on Future Computing, Rome, Italy, September 25-30, 2011.
  6. Rong-Fuh Day, Peng-Yeng Yin and Yu-Chi Wang, Examining the Validity of the Exemplar-Based Classifier in Identifying Decision Strategy with Eye-Movement Data, Proceedings of the Australasian Conference on Information Systems (ACIS 2011), November 30 - December 2, 2011, Sydney, Australia.
  7. Peng-Yeng Yin and En-Ping Su, Optimal Character Arrangement for Ambiguous Keyboards Using a PSO-based Algorithm, Proceedings of the 7th International Conference on Natural Computation and the 8th International Conference on Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2011), July 26-28, 2011, Shanghai, China.
  8. Peng-Yeng Yin, Chih-Chiang Chao and Ya-Tzu Chiang, Multiobjective Optimization for Nurse Scheduling, Proceedings of the International Conference on Swarm Intelligence (ICSI’2011), June 12-15, 2011, Chongqing, China, Y. Tan et al. (Eds.): ICSI 2011, Part II, LNCS 6729, Springer, 2011, pp. 66-73.
  9. Peng-Yeng Yin and Chin-Wen Liu, Relevance feedback using spatial information for iconic image retrieval, Proceedings of IAPR on CVGIP, I-Lan, Taiwan, 2008.
  10. Peng-Yeng Yin and Fred Glover, Hidden (Tabu) Secrets of Successful Evolutionary Search Methods, Proceedings of IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore, 2007. (Invited Speaker)
  11. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, Scatter PSO – A More Effective Form of Particle Swarm Optimization, Proceedings of IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore, 2007. pp. 2289-2296. (EI)
  12. Peng-Yeng Yin, Image Retrieval With Relevance Feedback Using Data Mining, Proceedings of International Conference on Artificial Intelligence and Pattern Recognition (AIPR’07), Orlando, FL, USA, 2007, pp. 137-144. (Invited Paper)
  13. Gwo-Jen Hwang, Peng-Yeng Yin, Ji-Yu Lin and Hui-Chun Chu, “An Innovative Approach to Generating Parallel Test Sheets from Large Item Banks with Multiple Assessment Criteria”, TELearn 2007, July 14~15, 2007, National Central University, Jhong-Li, Taoyuan, Taiwan.
  14. Peng-Yeng Yin and Shin-Hwei Li, Content-Based Image Retrieval Using Association Rule Mining With Soft Relevance Feedback, Proceedings of IAPR on CVGIP, Taipei, Taiwan, 2005.
  15. Gwo-Jen Hwang, Peng-Yeng Yin, Gwo-Haur Hwang and Ying Chan, A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria, The 5th IEEE International Conference on Advanced Learning Technologies (ICALT’05), Kaohsiung, Taiwan, July 5-8, 2005. (EI)
  16. Peng-Yeng Yin, Optimal polygonal approximation using discrete swarm algorithms, Proceedings of the 6th IASTED International Conference on Signal and Image Processing SIP 2004, Honolulu, Hawaii, USA, 2004. (EI)
  17. C. M. LAI, Peng-Yeng Yin and S. J. Shyu, A Tabu Search Algorithm for Evolutionary Tree Construction based on Maximum Likelihood Criterion, Proceedings of 2004 International Academic Conference, Taoyuan, Taiwan, 2004, pp. 66-75 (in Chinese).
  18. Hong-Rong Hong, Kuo-Chan Yu, Lin-Yen Chen, Yeh-Hsiu Chi, Wu-Zea Chang and Peng-Yeng Yin, An Application of Ant Colony Optimization to On-Line Strategic Game – A Study on a Football Game, Proceedings of 2004 International Academic Conference, Taoyuan, Taiwan, 2004, pp. 233-243 (in Chinese).
  19. Peng-Yeng Yin, S. J. Shyu, S. J. Yang and Y. C. Chang, Reinforcement learning for improving gene identification accuracy by combination of gene-finding programs, Proceedings of National Computer Symposium NCS’2003, Taichung, Taiwan, 2003.
  20. Peng-Yeng Yin, B. Bhanu, K. C. Chang and A. Dong, Reinforcement learning for combining relevance feedback techniques in image retrieval, Proceedings of IEEE International Conference on Computer Vision ICCV’2003, Nice, France, 2003.
  21. Peng-Yeng Yin and K. C. Chang, Integrating relevance feedback techniques for content-based image retrieval using reinforcement learning, Proceedings of IAPR on CVGIP, Hsin-Chu, Taiwan, 2002, pp. 345-352.
  22. Peng-Yeng Yin, B. Bhanu, K. C. Chang and A. Dong, Improving retrieval performance by long-term relevance information, Proceedings of International Conference on Pattern Recognition ICPR’2002, Quebec City, Canada, 2002.
  23. Peng-Yeng Yin and S. J. Shyu, Multiple sequence alignment by genetic algorithms, Proceedings of SCI’2002, FL, USA., 2002.
  24. J. W. Chen, J. Y. Yao, F. L. Lin, W. Y. Wu, D. Y. Lin, F. Y. Liu, I. S. Wu and Peng-Yeng Yin, Content-based Image Retrieval Using Relevance Feedback Techniques, Proceedings of International Academic Conference on E-Era Challenge, Taoyuan, Taiwan, 2002, pp. 337-353.
  25. Y. S. Hsu, T. F. Ho, Peng-Yeng Yin and H. L. Tso, Automatic program flaw detection using Tabu search, Proceedings of NCS’2001, Taipei, Taiwan, 2001, pp. G261-G268.
  26. Peng-Yeng Yin, Polygonal approximation of planar digital curves using ant systems, Proceedings of Intelligent Agent Technology IAT'2001, Mabashi city, Japan, 2001, pp. 375-384.
  27. Peng-Yeng Yin, Q-learning algorithm for optimal multilevel thresholding, Proceedings of International Conference on Artificial Intelligence ICAI’2001, Monte Carlo Resort, Las Vegas, Nevada, USA, 2001.
  28. Peng-Yeng Yin, An intelligent system for printed document image analysis, Proceedings of International Academic Conference: New Millennium, new thoughts, Taoyuan, Taiwan, 2001, pp. 441-454.
  29. C.K. Yang, Peng-Yeng Yin and Y.C. Chen, A study on image database accessing using techniques of color moments, Proceedings of International Academic Conference: New Millennium, new thoughts, Taoyuan, Taiwan, 2001, pp. 267-278.
  30. Y.C. Chen, C.K. Yang and Peng-Yeng Yin, Color indexing using moment preserving and bit decomposition techniques, Proceedings of IAPR on CVGIP, Ken-Ding, Taiwan, 2001, pp. E2-2.
  31. Peng-Yeng Yin and Yen-Bo Huang, Automatic data extraction and identification for paper-based Chinese road maps, Proceedings of CISST'2000, Las Vegas, USA, 2000, pp. 507-514.
  32. Peng-Yeng Yin, A genetic algorithm for circle/ellipse detection based on symmetry, Proceedings of FSPIPA’99, Budapest, Hungary, 6-7 September, 1999, pp. 87-98. 尹邦嚴,黃彥博,林進欣,簡元俊,李秋蓉,江孟芸, "自動化地圖讀取系統", 中華地理資訊學會年會暨學術研討會, 台中, 台灣, 1999, pp. 56.
  33. Peng-Yeng Yin, A new circle/ellipse detector using genetic algorithms, Proceedings of IAPR on CVGIP, Taipei, Taiwan, 1998, 362-368.
  34. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Proceedings of IAPR on CVGIP, Taichung, Taiwan, 1997, 284-291.
  35. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Multilevel Thresholding Using the Symmetry And the Duality of the Histogram,” Proceedings of 1994 International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, 1994, 45-48.
  36. Ling-Hwei Chen, Peng-Yeng Yin, “A System for On-Line Recognition of Handwritten Mathematical Expressions,” Proceedings of 1991 International Conference on Computer Processing of Chinese and Oriental Languages, Taipei, Taiwan, 1991, 138-142.
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