Professor Peng-Yeng Yin (尹邦嚴 教授)

Department of Information Management, National Chi Nan University
 E-mail: pyyin at ncnu.edu.tw   Phone: (049)2910960 Ext. 4633   Skype: pengyengyin
Editor-in-Chief
International Journal of Applied Metaheuristic Computing (IJAMC)


IJAMC 1(1), 2010
Free sample copy

Metaheuristic Search with Inequalities and Target Objectives for Mixed Binary Optimization – Part I : Exploiting Proximity
Fred Glover, Saïd Hanafi

A New Multiagent Algorithm for Dynamic Continuous Optimization
Julien Lepagnot, Amir Nakib, Hamouche Oulhadj and Patrick Siarry

A Reinforcement Learning – Great-Deluge Hyper-heuristic for Examination Timetabling
Ender Özcan, Mustafa Mısır, Gabriela Ochoa, Edmund K. Burke

A Survey on Evolutionary Instance Selection and Generation
Joaquín Derrac, Salvador García and Francisco Herrera

Theorems Supporting r-flip Search for Pseudo-Boolean Optimization
Bahram Alidaee, Gary Kochenberger, Haibo Wang

A Sociopsychological Perspective on Collective Intelligence in Metaheuristic Computing
Yingxu Wang

Expertise:

Machine Learning, Pattern Recognition, Content-based Image Retrieval,Clustering Theory, Bioinformatics, Computational Intelligence, Metaheuristics
機器學習, 演化式計算, 生物資訊, 圖形識別, 影像處理, 資料探勘, 計 算智慧, 軟性計算, 供應鏈管理, 作業研究, 風險管理, 財務計算, 風力發電, 太陽能發電, 全域最佳化, 組合最佳化

Experience:

2015.05 ~ 2015.07 Visiting Professor, Osaka University, Japan (Hosted by Prof. Tetsuzo Tanino)
2014.08 Distinguished Professor, Department of Information Management
2011.08 ~ Now Adjunct Professor, National Chiao Tung University
2008.12 ~ 2012.12 Dean, Office of Research and Development
2006.08 ~ 2007.07 Visiting Professor at U. of Colorado, Boulder, Colorado, U.S.A.(Hosted by Prof. Fred Glover, Von Neumann Theory Prize Winner,Tabu Search inventor)
2004.08 ~ 2006.07 Head, Department of Information Management
2000.03 ~ 2000.08 Visiting Professor at U. of California, Riverside, U.S.A. (Hosted by Prof. Bir Bhanu, IEEE Fellow)
2001.02 ~ Now Full Professor, Department of Information Management 
1993.09 ~1994.02 Visiting scholar at U. of Maryland, College Park, U.S.A. (Hosted by Prof. Y.C. Lo)

Editor of International Journals:

Editor-in-Chief,International Journal of Applied Metaheuristic Computing,Pennsylvania, USA
Editor,International Journal of Advanced Robotic Systems(SCIE indexed),Vienna, Austria, 2006~2012
Editor, Applied Mathematics & Information Sciences (SCIE indexed), Natural Sciences Publishing (NSP)
Editor, Mathematical Problems in Engineering (SCIE indexed), Hindawi Publishing Corporation
Editor,Journal of Computer Information Systems (SCIE indexed), USA
Editor, International Journal of Information Processing and Management (EI indexed), AICIT Publications, Korea

Invited Talks :

2016 工研院  巨資中心
2016 交通大學  資管所
2015 日本大阪大學  工程學院
2014 中央大學  資工所
2013 聯合大學  資管所
2012 台灣大學  工海所
2012 中正大學  資管所
2011 成功大學  資管所
2010 台灣大學  資管所
2010 元智大學  資工所
2010 銘傳大學  資管所
2010 中國山東大學威海分校  機電與資訊工程學院
2010 中國華北電力大學  控制與電腦工程學院
2009 交通大學  資管所
2008 中正大學  資管所
2008 雲林科技大學  資管所
2008 東海大學  資管所
2007 美國科羅拉多大學  商學院
2005 台灣師範大學  資教所
2004 嶺東科技大學  資管所
2002 中研院  資科所
2002 台灣師範大學  資教所

Book Editor:

Pattern Recognition: Techniques, Technology and Applications Advanced Robotic Systems International, ISBN 978-3-902613-24-4, I-Tech Education and Publishing KG, Vienna, Austria, December, 2008
Pattern Recognition In-Teh, ISBN 978-953-307-014-8, India, October, 2009
Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends IGI-Global, ISBN 978-1-4666-0270-0, USA, February, 2012


Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches IGI-Global, ISBN 978-1-4666-2145-9, USA, October, 2012

Reviewer of International Journals:

SCI & SSCI journals
IEEE Transaction on Pattern Analysis and Machine Intelligence
IEEE Transaction on Systems, Man and Cybernetics, - Part B: Cybernetics
IEEE Transaction on Systems, Man and Cybernetics, - Part C: Applications and Reviews
IEEE Transaction on Knowledge and Data Engineering
IEEE Transaction on Signal Processing
IEEE Signal Processing Letters
IEEE Transaction on Multimedia
IEEE Transaction on Cybernetics
IEEE Transactions on Services Computing
Decision Support Systems
Engineering Optimization
Networks
Computer Vision and Image Understanding
Bioinformatics
Pattern Recognition
Pattern Recognition Letters
Image and Vision Computing Journal
Journal of Visual Communication and Image Representation
Pattern Analysis and Application
Information Sciences: An International Journal
Journal of Systems and Software
Artificial Intelligence in Medicine
Applied Soft Computing
Informs Journal on Computing
European Journal of Operational Research
Computers & Operations Research
Computers & Industrial Engineering
International Journal of Production Research
Journal of the Operational Research Society
Journal of Scheduling
Neurocomputing
Journal of Computational and Applied Mathematics
Journal of Computer Assisted Learning
Journal of the International Measurement Confederation
Applied Mathematics and Computation
Applied Mathematical Modelling
Knowledge-Based Systems
Multimedia Tools and Applications
Journal of Electronic Commerce Research
International Journal of Thermal Sciences
Computer Communications
Meat Science

SCIE journals
The Computer Journal
Entropy
Journal of Multiple-Valued Logic and Soft Computing
Optimization Methods and Software
International Journal of Advanced Robotic Systems
Journal of Information Science and Engineering
Journal of the Chinese Institute of Engineers
Journal of Zhejiang University-SCIENCE A
Journal of Computer Science and Technology
Asia-Pacific Journal of Operational Research

International Journal of Communication Systems (Wiley. IF=0.406)
International Journal on Artificial Intelligence Tools (World Scientific)
International Journal on Foundations of Computer Science  (World Scientific)
International Journal of Information Technology & Decision Making (World Scientific)
Biomedical Engineering-Applications, Basis and Communications
(World Scientific)
Journal of Intelligent Manufacturing (Springer)
Neural Computing and Applications  (Springer, IF=0.699)

Optimization Letters
(Springer, IF=0.952)
Soft Computing (Springer, IF=1.124)
Abstract and Applied Analysis
Mathematical Problems in Engineering
Journal of Marine Science and Technology

Publications

(A) 期刊論文 (Journal papers)

  1. Peng-Yeng Yin, Tsai-Hung Wu and Ping-Yi Hsu, “Risk Management of Wind Farm Micro-Siting Using an Enhanced Genetic Algorithm with Simulation Optimization,” to appear in Renewable Energy. (MOST 105-2410-H-260 -018 -MY2).
  2. Peng-Yeng Yin, Tsai-Hung Wu, “Multi-Objective and Multi-Level Image Thresholding Based on Dominance and Diversity Criteria,” Applied Soft Computing 54, 2017, 62-73. (SCI, 2015 IF=1.492). (MOST 103-2410-H-260-021-MY2).
  3. Peng-Yeng Yin, Rong-Fuh Day and Yu-Chi Wang, “Tabu Search Based Classification for Eye-Movement Behavioral Decisions,” to appear in Neural Computing and Applications (SCI, 2015 IF=1.492). (NSC 98-2410-H-260-018-MY3).
  4. Rong-Fuh Day, Peng-Yeng Yin, Yu-Chi Wang, and Ching-Hui Chao, “Hybrid Multi-Start Tabu Search for Finding Hidden Decision Strategies Based on Eye-Movement Data Clustering,” Applied Soft Computing 48, 2016, 217-229. (SCI, 2015 IF=2.857). (NSC 98-2410-H-260-018-MY3).
  5. Peng-Yeng Yin and Ya-Lan Chuang “Adaptive Memory Artificial Bee Colony Algorithm for Green Vehicle Routing with Cross-Docking,” Applied Mathematical Modelling 40, 9302-9315, 2016 (SCI, 2015 IF=2.291). (MOST 103-2410-H-260 -021 -MY2).
  6. Youcef Gheraibia, Abdelouahab Moussaoui, Youcef Djenouri, Peng-Yeng Yin, and Smaine Mazouzi “Pe-ARM: Penguins Search Optimization For Association Rules Mining”, Journal of Computing and Information Technology (CIT) 24 (2), June, 2016, 55-69. (EI, Scopus, INSPEC).
  7. Youcef Gheraibia, Peng-Yeng Yin, Yiannis Papadoupolos, Abdelouahab Moussaoui, “PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems”, The International Arab Journal of Information Technology (IAJIT) Volume XXXXX Year XXXX (SCIE, 2015 IF = 0.519)
  8. Peng-Yeng Yin, Sin-Ru Lyu, and Ya-Lan Chuang “Cooperative Coevolutionary Approach for Integrated Vehicle Routing and Scheduling Using Cross-Dock Buffering,” Engineering Applications of Artificial Intelligence 52, 40-53, June 2016 (SCI, 2015 IF=2.368). (MOST 103-2410-H-260 -021 -MY2) doi:10.1016/j.engappai.2016.02.006
  9. Peng-Yeng Yin, Tsai-Hung Wu and Ping-Yi Hsu “A Power-Deficiency and Risk-Management Model for Wind Farm Micro-Siting Using Cyber Swarm Algorithm,” Applied Mathematical Modelling 40(3), 2177-2189, February 2016 (SCI). (NSC 101-2410-H-260-004-MY2)
  10. Y. Gheraibia, A. Moussaoui, Y. Djenouri, S. Kabir, Peng-Yeng Yin, and S. Mazouzi “Penguin Search Algorithm for Finding Optimal Spaced Seeds”, International Journal of Software Science and Computational Intelligence 7(2), 85-99, 2015.
  11. Peng-Yeng Yin, Kuo-Hsien Chuang, and Gwo-Jen Hwang*, “Developing a Context-Aware Ubiquitous Learning System based on a Hyper-Heuristic Approach by Taking Real-World Constraints into Account, ” to appear in Universal Access in the Information Society, (SSCI).
  12. Benjamin Shao, Peng-Yeng Yin and Andrew Chen, “Organizing Knowledge Workforce for Specified Iterative Software Development Tasks,” Decision Support Systems 59, March 2014, 15-27 (SSCI).
  13. 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).
  14. Peng-Yeng Yin, Ray-I Chang, Chih-Chiang Chao and Yen-Ting Chu “Niched Ant Colony Optimization with Colony Guides for QoS Multicast Routing,” Journal of Network and Computer Applications 40, April 2014, 61-72 (SCI).
  15. 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).
  16. 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).
  17. 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)
  18. 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).
  19. 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.
  20. 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).
  21. 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).
  22. 趙志強,尹邦嚴,蔣雅慈,”以擴散式粒子群最佳化為基礎之智慧型多目標護士排程系統”, 醫療資訊雜誌, 第十九卷第一期, 2010, 1-16頁.
  23. 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)
  24. 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).
  25. 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).
  26. 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).
  27. 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).
  28. 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).
  29. 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).
  30. 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).
  31. 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).
  32. 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).
  33. 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).
  34. 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).
  35. 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).
  36. 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).
  37. 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).
  38. 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).
  39. 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).
  40. 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).
  41. 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).
  42. 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).
  43. 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).
  44. 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).
  45. 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).
  46. 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).
  47. S. J. Shyu, B. M. T. Lin and Peng-Yeng Yin, “Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time,” Computer and Industrial Engineering 47, 2004, 181-193 (NSC 90-2213-E-130-006) (SCI)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. 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)
  55. 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)
  56. 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)
  57. 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)
  58. 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)
  59. 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)
  60. 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)
  61. 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)
  62. 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)
  63. 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)
  64. Peng-Yeng Yin and Ling-Hwei Chen, “A New Non-Iterative Clustering Approach,” Pattern Recognition Letters 15, 1994, 125-133. (SCI, EI)
  65. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Ellipse Detection by Means of Symmetry,” Journal of Electronic Imaging 3, 1994, 20-29. (SCI)
  66. Peng-Yeng Yin, Ling-Hwei Chen, “Random-Sampling Thresholding: A New Approach to Multilevel Thresholding,” Signal Processing 34, 1993, 311-322. (SCI)
  67. 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)
  68. 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.

(B) 專書 (Book Editor)

  1. Peng-Yeng Yin, Pattern Recognition: Techniques, Technology and Applications, Advanced Robotic Systems International, ISBN 978-3-902613-24-4, I-Tech Education and Publishing KG, Vienna, Austria, November 2008.
  2. Peng-Yeng Yin, Pattern Recognition, ISBN 978-953-307-014-8, In-Teh, India, October 2009.
  3. Peng-Yeng Yin, Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends, ISBN 978-1-4666-0270-0, IGI-Global, March 2012.
  4. Peng-Yeng Yin, Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches, ISBN 978-1-4666-2145-9, IGI-Global, October 2012.

(C) 專章 (Book Chapters)

  1. Peng-Yeng Yin, Shyong-Jian Shyu, Guan-Shieng Huang, and Shuang-Te Liao, A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules, in: H. H. Hsu (Ed.), Advanced Data Mining Technologies in Bioinformatics, Idea Group Publishing, Hershey, 2006, 231-247. Also in Vijayan Sugumaran (Ed.), Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications, IGI Global Publishing, Hershey, November 2007, Volume I, Section 2, Chapter 2.5. And in John Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools and Applications, IGI Global Publishing, Hershey, 2008, 1091-1102. http://www.igi-global.com/bookstore/titledetails.aspx?titleid=236&detailstype=chapters
  2. Peng-Yeng Yin, Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics, in: G. Obinata and A. Dutta (Ed.), Vision Systems, Segmentation and Pattern Recognition, Advanced Robotic Systems International, June 2007.
  3. Peng-Yeng Yin and Shan-Cheng Li, Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication, in: F. T. S. Chan and M. K. Tiwari. (Ed.), Swarm Intelligence, Focus on Ant and Swarm Particle Optimization, Advanced Robotic Systems International, December 2007.
  4. Peng-Yeng Yin, Registration of Point Patterns Using Modern Evolutionary Algorithms, in: Peng-Yeng Yin (Ed.), Pattern Recognition: Techniques, Technology and Applications, Advanced Robotic Systems International, November 2008.
  5. Peng-Yeng Yin and Chia-Mao Chen, Complementary Relevance Feedback Methods for Content-Based Image Retrieval, in: Peng-Yeng Yin (Ed.), Pattern Recognition, In-Teh, India, October 2009.
  6. Peng-Yeng Yin, Towards More Effective Metaheuristic Computing, in: Peng-Yeng Yin (Ed.), Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends, IGI-Global Publishing, February 2012.
  7. Peng-Yeng Yin, MOMO: Multi-Objective Metaheuristic Optimization. In: Peng-Yeng Yin (Ed.), Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches, IGI-Global Publishing, October 2012.
  8. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, A complementary cyber swarm algorithm. In: Yuhui Shi (Ed.), Emerging Research on Swarm Intelligence and Algorithm Optimization, IGI-Global Publishing, July 2014.

(D) 研討會論文 (Conference Papers)

  1. Peng-Yeng Yin, Ching-Hui Chao, Tsai-Hung Wu, and Ping-Yi Hsu, “Optimal Micro-Siting Planning Considering Long-Term Electricity Demand,” Proceedings of the International Conference on Swarm Intelligence (ICSI 2017), July 27 – August 1, 2017, Fukuoka, Japan.
  2. Peng-Yeng Yin, Tsai-Hung Wu, Ching-Hui Chao, Ping-Yi Hsu, “Optimal Wind Turbine Placement Considering Power Demand and Wind Uncertainties in Taiwan,” The fifth International Conference on Continuous Optimization (ICCOPT 2016), August 6-11, 2016, Tokyo, Japan.
  3. Peng-Yeng Yin, Tsai-Hung Wu, Ping-Yi Hsu “Optimal Wind Farm Micro-Siting Models With Risk Benefit Analysis,” 2016 International Conference on Industrial and Mechanical Engineering (CIME 2016), October 21 to 23, 2016, Shanghai China.
  4. 尹邦嚴, 石涵琳, “基於模擬之風險管理多目標投資組合最佳化”, 2016資訊管理實務研討會, 健行科技大學, May 20, 2016.
  5. 尹邦嚴, 趙景暉, “以Cyber Swarm Algorithm演算法進行台灣電力需求預測”, 第十五屆離島資訊技術與應用研討會, 樹德科技大學, May 20-21, 2016.
  6. 尹邦嚴, 紀權展, “禁忌搜尋法與一個差異集合間的整體學習共演化”, TBI2016 第八屆臺灣商管與資訊研討會, 國立台北大學, March 25, 2016.
  7. 尹邦嚴, 程俊穎, “考量灰塵沉積與天氣影響之太陽能板發電量研究”, ITIA 2016資訊技術與產業應用國際研討會, 臺北城市科技大學, April 15, 2016.
  8. Peng-Yeng Yin, Ya-Lan Chuang, Sin-Ru Lyu, Ching-Ying Chen, “Collaborative Vehicle Routing and Scheduling with Cross-Docks Under Uncertainty,” IEEE International Conference on Collaboration and Internet Computing (IEEE CIC 2015), October 28-30, 2015, Hangzhou, China.
  9. 尹邦嚴, 趙景暉, “以粒子群演算法進行台灣電力需求預測”, TANET 2015台灣網際網路研討會, 埔里, 國立暨南國際大學, October 21-23, 2015.
  10. 陳尚瑋, 尹邦嚴, 程俊穎, “考量灰塵沉積之多目標太陽能板最佳安置”, TANET 2015台灣網際網路研討會, 埔里, 國立暨南國際大學, October 21-23, 2015.
  11. 尹邦嚴, 楊天祿, “相對點共演化學習式禁忌搜尋法之全域最佳化”, 第十屆臺灣作業研究學會年會暨海運物流學術研討會, 基隆, 國立臺灣海洋大學, November 28, 2014.
  12. 尹邦嚴, 吳蔡宏, “最佳風力發電機配置之風險管理模式”, 第20屆資訊管理與實務研討會(IMP 2014), 桃園, 龍華科技大學, December 13, 2014.
  13. Peng-Yeng Yin, Fred Glover and Shun-Chieh Yang, Discrete Cyber Swarm Algorithm and Analytics Strategies for the Quadratic Assignment Problem, Proceedings of The 20th Conference of the International Federation of Operational Research Societies (IFORS 2014), July 13-18, 2014, Barcelona, Spain.
  14. Peng-Yeng Yin, Adaptive Website Design By Mining User Browsing Patterns, Proceedings of The 2014 ISIS–Venice International Multidisciplinary Academic Summit, July 7-9, 2014, Venice, Italy.
  15. 尹邦嚴, 許益榮, “改良式GRASP演算法求解旅行銷售員問題”, 第九屆國際健康資訊管理研討會(UHIMA 2014), 台中, 東海大學, June 13-14, 2014.
  16. 尹邦嚴, 呂欣茹, 游勇訓, “車輛尋徑與排程問題-計算智慧算法”, 第九屆國際健康資訊管理研討會(UHIMA 2014), 台中, 東海大學, June 13-14, 2014.
  17. 尹邦嚴, 游勇訓, 陳尚瑋, “改良式蟻群最佳化演算法求解旅行銷售員問題”, KC2014第10屆知識社群國際研討會, 台北, 中國文化大學, May 16-17, 2014.
  18. 尹邦嚴, 吳蔡宏, “最佳化多目標多閥值影像切割法”, ICIM2014第25屆國際資訊管理學術研討會, 台中, 中興大學, May 24, 2014.
  19. 尹邦嚴, 吳蔡宏, “最小錯分率及最大壓縮率之多準則閥值式影像切割法”, 2014 資訊管理實務研討會, 桃園, 健行科技大學, May 23, 2014.
  20. 尹邦嚴, 呂欣茹, 游勇訓, “以超經驗法則演算法進行接駁式轉運之最佳車輛尋徑”, 2014第九屆數位教學暨資訊實務研討會(EITS 2014), 台南, 南台科技大學, March 26, 2014.
  21. 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.
  22. 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.
  23. 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.
  24. 尹邦嚴, 楊順傑, “以離散型外掛群體智慧演算法解決單列設備布局問題”, 管理思維與實務管理暨資訊計算聯合學術研討會, 台北, 銘傳大學, May 17, 2013.
  25. 尹邦嚴, 莊雅嵐, “一個有效的人工蜜蜂演算法改善燃油效率的接駁式轉運車輛尋徑”, 第廿四屆國際資訊管理學術研討會(ICIM 2013), 台北, 真理大學, May 25-26, 2013. (大 會佳作論文)
  26. 尹邦嚴, 陳柏延, “一個基於調變式記憶規劃的全域最佳化螢火蟲演算法”, 銘傳大學2013國際學術研討會, 銘傳大學, March 15, 2013.
  27. 尹邦嚴, 莊雅嵐,“一個混合式人工蜜蜂演算法解決接駁式轉運供應鏈之車輛尋徑”, 第十八屆資訊管理暨實務研討會(IMP 2013), 台北科技大學, December 8, 2012.
  28. 尹邦嚴, 陳柏延, “一個更有效的全域最佳化螢火蟲群體演算法”, 第十八屆資訊管理暨實務研討會(IMP 2013), 台北科技大學, December 8, 2012.
  29. 尹邦嚴, 楊順傑, “一個加入鑽勘性與多樣性策略的離散型Cyber Swarm Algorithm並以二次指派問題為例”, 第十八屆資訊管理暨實務研討會(IMP 2013), 台北科技大學, December 8, 2012.
  30. 尹邦嚴, 徐兆辰, 張瀚鈞, 詹智豪, 柯承宗, 陳冠杰, “螞蟻演算法之視覺化實作與應用-以旅行推銷員問題為例”, 第十八屆資訊管理暨實務研討會(IMP 2013), 台北科技大學, December 8, 2012.
  31. 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.
  32. 尹邦嚴, 林聖婷, “雲端計算環境中使用粒子群演算法優化參加校園活動排程系統”, 第二十三屆國際資訊管理學術研討會(ICIM 2012), 高雄大學, May 19, 2012.
  33. 尹邦嚴, 陳柏諭, “以調變式記憶規劃改善植基於斜率參考以及ε–Constraint Programming之MOEA/D”, 第二十三屆國際資訊管理學術研討會(ICIM 2012), 高雄大學, May 19, 2012.
  34. 尹邦嚴, 吳昕澧, “以調變式策略改善機率分佈估計演算法-以TSP為例”, 第二十三屆國際資訊管理學術研討會(ICIM 2012), 高雄大學, May 19, 2012.
  35. 尹邦嚴, 林聖婷, ”雲端計算之參加校園活動排程系統”, 銘傳大學2012國際學術研討會, 銘傳大學, March 16, 2012.
  36. 尹邦嚴, 陳柏諭, ”以斜率參考更新與路徑重劃策略改善拆解式多目標演化演算法”, 銘傳大學2012國際學術研討會, 銘傳大學, March 16, 2012.
  37. 尹邦嚴, 吳昕澧, ”一個新的機率分配估計演算法求解旅行銷售員問題”, 銘傳大學2012國際學術研討會, 銘傳大學, March 16, 2012.
  38. 紀人華, 伍碧那, 陳宛辰, 葉秦均, 尹邦嚴, ”Direct search之視覺化實作-以Hooke & Jeeve與Nelder & Mead演算法為例”, 第十二屆科技與管理學術研討會, 台北科技大學, 2011.
  39. 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.
  40. 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.
  41. 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), 26-28 July, 2011, Shanghai, China.
  42. 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.
  43. 尹邦嚴,王泰元,”利用GRASP優化風力發電場最佳風機配置問題”, 第二十二屆國際資訊管理學術研討會(ICIM 2011), 朝陽大學, 2011.
  44. Peng-Yeng Yin, Particle Swarm Optimization for Automatic Selection of Relevance Feedback Heuristics, Proceedings of the International Conference on Swarm Intelligence (ICSI’2010), Beijing, June 12-15, 2010. (One of the two Best Papers)
  45. 林惠珍,尹邦嚴,”以表格控制調整法進行個人隱私保護的新數學模型與解答方法”, 2010第六屆台灣作業研究學會年會暨學術研討會, 銘傳大學, 2010.
  46. 郭益銘,尹邦嚴,”使用禁忌搜尋法進行最佳化網站結構設計”, 第二十一屆國際資訊管理學術研討會(ICIM 2010), 成功大學, 2010.
  47. 郭益銘,尹邦嚴,”使用禁忌搜尋法進行最佳化網站結構設計”, 2009數位內容學術研討會 (ICDC 2009), 元智大學, 2009.
  48. 林惠珍,尹邦嚴,”一個針對微聚合問題的分裂重組法”, 2009 National Computer Symposium (NCS 2009)全國計算機會議, 台北大學, 2009.
  49. 尹邦嚴,邱哲夫,林玉玟,宋秉一,張采菱,曾馨儀,”運用基因演算法之優化水庫放水”, 人工智慧與應用研討會, 朝陽科技大學, 2009.
  50. 江嘉峻,張玨婷,何宗昀,方嘉猷,尹邦嚴,”最佳化人力資源配置決策支援系統”, 科技與管理研討會, 台北科技大學, September 25, 2009.
  51. 尹邦嚴,朱晏廷,”混和粒子群最佳化與螞蟻演算法的QoS群播路由演算法”, 第二十屆國際資訊管理學術研討會(ICIM2009), 世新大學, 2009.
  52. 尹邦嚴,朱晏廷,”混和粒子群最佳化與螞蟻演算法的QoS多媒體串流群播路由策略”, 2008數位內容學術研討(ICDC2008), 元智大學, 2008. (最佳論文獎)
  53. 尹邦嚴,蔣雅慈,侯宏彬,”利用擴散式粒子群最佳化進行多目標護士排程”, 第十四屆資訊管理暨實務研討會(IMP), 東吳大學, 2008.
  54. 鄭仁達,陳典廷,尹邦嚴,”利用粒子群最佳化演算法進行雙目標運輸分配之最佳化”, 2008年民生電子研討會, 景文科技大學, 2008.
  55. 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.
  56. 尹邦嚴,朱家賢,”一個新的全域最佳化演算法:調變記憶規劃粒子群最佳化”, 銘傳大學2008國際學術研討會, 銘傳大學, 2008.
  57. 尹邦嚴,朱家賢,”禁制搜尋法為基礎之粒子群最佳化”, 第十三屆資訊管理暨實務研討會(IMP), 樹德科技大學, 2007.
  58. 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)
  59. 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)
  60. 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)
  61. 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.
  62. 黃國禎,林繼昱,尹邦嚴,”多目標自動化平行組卷策略之研究”, 第二屆數位內容管理與應用學術研討會, 國立台南大學, 2007.
  63. 尹邦嚴,蘇恩平,”利用粒子群演算法最佳化多重符號鍵盤配置”, 第二屆數位內容管理與應用學術研討會, 國立台南大學, 2007.
  64. 尹邦嚴,劉欽文,”一個可應用於空間關係影像讀取之新的相關回饋技術”, 第十二屆資訊管理暨實務研討會(IMP), 虎尾科技大學, 2006.
  65. 尹邦嚴,柳依旻,”使用粒子族群最佳化演算法進行調變式查詢向量修正”, 第十二屆資訊管理暨實務研討會(IMP), 虎尾科技大學, 2006.
  66. 尹邦嚴,陳嘉懋,”利用支援向量機來加強貝氏定理於相關回饋的效能”, 第十七屆國際資訊管理學術研討會(ICIM), 義守大學, 2006.
  67. 尹邦嚴,陳嘉懋,”利用支援向量機加強特徵相關度評估法於相關回饋的效能”, 第二屆資訊管理學術暨專案管理實務研討會,桃園, 開南大學, 2006.
  68. 尹邦嚴,陳怡孜,陳瑩哲,沈扇綸,郭怡君,”模擬蜘蛛結網之演算法及視覺化工具開發”, 銘傳大學2006國際學術研討會, 銘傳大學, 2006.
  69. 尹邦嚴,陳嘉懋,”利用支援向量機來加強查詢向量修正法於相關回饋的效能”, 2005科技與管理學術研討會, 台北科技大學, 2005.
  70. 尹邦嚴,林彥辰,”使用機率式分群演算法自動產生測試資料”, 第十一屆資訊管理暨實務研討會(IMP), 實踐大學, 2005.
  71. 尹邦嚴,林彥辰,”使用機率式分群演算法求解資源分配問題”, 第二屆台灣作業研究學會學術研討會, 政治大學, 2005.
  72. 尹邦嚴,林彥辰,”以機率式分群演算法為基礎之自動化程式錯誤偵測”, 2005管理與技術國際學術研討會, 雲林科技大學, 2005.
  73. 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.
  74. 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)
  75. 尹邦嚴,李善誠,”利用螞蟻族群最佳化演算法解決無線通訊頻道指派問題”, 學習型知識社群與電子商務實務研討會, 文化大學, 2005.
  76. 尹邦嚴,王珮珮,”基於混合式粒子群最佳化之多目標工作分配”, 第一屆數位內容管理與應用學術研討會, 高雄第一科技大學, 2005.
  77. 尹邦嚴,王珮珮,”以粒子群體最佳化為基礎之分散式系統工作分配”,第十六屆國際資訊管理學術研討會(ICIM), 輔仁大學, 2005.
  78. 尹邦嚴,王敬育,”使用粒子群最佳化求解資源分配問題”, 第一屆資訊管理學術暨專案管理實務研討會, 開南管理學院, 2005.
  79. 尹邦嚴,林彥辰,”以粒子群體最佳化為基礎之自動化程式錯誤偵測”, 第一屆資訊管理學術暨專案管理實務研討會, 開南管理學院, 2005.
  80. 柳依旻,江元傑,黃冠哲,陳映良,尹邦嚴,”粒子族群最佳化的視覺化及開發工具”,銘傳大學2005國際學術研討會, 銘傳大學, 2005.
  81. 尹邦嚴,王珮珮,”使用混合式粒子群最佳化演算法進行分散式系統之最佳化工作分配”,第十屆資訊管理暨實務研討會(IMP), 台中技術學院, 2004, pp. 2571-2583.
  82. 尹邦嚴,王敬育,”使用螞蟻族群最佳化求解資源分配問題”,第一屆台灣作業研究學會學術研討會暨2004年科技與管理學術研討會, 台北科技大學, 2004, pp. 585-594.
  83. 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)
  84. 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).
  85. 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).
  86. 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.
  87. 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.
  88. 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.
  89. 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.
  90. Peng-Yeng Yin and S. J. Shyu, Multiple sequence alignment by genetic algorithms, Proceedings of SCI’2002, FL, USA., 2002.
  91. 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.
  92. Peng-Yeng Yin, Content-based trademark retrieval with fuzzy clustering and relevance feedback, Proceedings of NCS’2001, Taipei, Taiwan, 2001, pp. D032-D042.
  93. 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.
  94. 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.
  95. 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.
  96. B. M. T. Lin, Peng-Yeng Yin and S.J. Shyu, An application of ant colony systems to no-wait flowshop scheduling, Proceedings of INFORMS Meeting, Maui, Hawaii, June, 2001.
  97. 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.
  98. 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.
  99. 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.
  100. Peng-Yeng Yin, Skew estimation of documents using run length smoothing and modified Hough transform, Proceedings of CISST'2000, Las Vegas, USA, 2000, pp. 261-268.
  101. 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.
  102. 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.
  103. 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.
  104. Peng-Yeng Yin, A new circle/ellipse detector using genetic algorithms, Proceedings of IAPR on CVGIP, Taipei, Taiwan, 1998, 362-368.
  105. Peng-Yeng Yin, “Genetic algorithms for optimal polygonal approximation of planar digital curves,” Proceedings of 1997 Workshop on Information Management, Taipei, Taiwan, 1997, pp. 163-172.
  106. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Proceedings of IAPR on CVGIP, Taichung, Taiwan, 1997, 284-291.
  107. Peng-Yeng Yin, “Genetic Algorithms for Polygonal Approximation,” Proceedings of IAPR on CVGIP, Taichung, Taiwan, 1997, 292-299.
  108. 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.
  109. 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.

Related Links:

  1. >Paradiseo, INRIA, France  
  2. Artificial Bee Colony (ABC) Algorithm, Dervis Karaboga, Erciyes University, Turkey
  3. Differential Evolution, Kenneth Price and Rainer Storn, Germany
  4. SCI2S, Francisco Herrera Triguero, University of Granada, Spain
  5. IRIDIA, Marco Dorigo, Université Libre de Bruxelles, Belgium
  6. ASAP,Edmund K. Burke, University of Nottingham, UK 
  7. IDSIA, Carlo Lepori, University of Lugano, Switzerland   
  8. AIFB, Hartmut Schmeck, Karlsruhe Institute of Technology (KIT), Germany
  9. MAP Dataset  GKAP Dataset
  10. 主題式-政府研究資訊系統(GRB)
  11. SCM Dataset