Genetic Programming Bibliography entries for Shu-Heng Chen

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GP coauthors/coeditors: Chia Hsuan Yeh, John Duffy, Chih-Chi Ni, Jiaxuan Ye, Woh-Chiang Lee, Hung-Shuo Wang, Byoung-Tak Zhang, Tzu-Wen Kuo, Chung-Chih Liao, Bin-Tzong Chie, Chung-Ching Tai, Yuh-Pyng Shieh, Nicolas Navet, Ren-Jie Zeng, Tina Yu, Shu G Wang, Kuo-Chuan Shik, Michael Kampouridis, Edward P K Tsang, R I (Bob) McKay, Nguyen Xuan Hoai,

Genetic Programming Articles by Shu-Heng Chen

  1. Michael Kampouridis and Shu-Heng Chen and Edward Tsang. Market fraction hypothesis: A proposed test. International Review of Financial Analysis, 23:41-54, 2012. Complexity and Non-Linearities in Financial Markets: Perspectives from Econophysics. details

  2. Shu-Heng Chen. Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective. Journal of Economic Dynamics and Control, 36(1):1-25, 2012. details

  3. Shu-Heng Chen and Tina Yu. Agents learned, but do we? Knowledge discovery using the agent-based double auction markets. Frontiers of Electrical and Electronic Engineering in China, 6(1):159-170, 2011. details

  4. Bob McKay and Shu-Heng Chen and Xuan Hoai Nguyen. Genetic Programming: An emerging engineering tool. International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(1):1-2, 2008. Guest Editorial. details

  5. Shu-Heng Chen. Computationally intelligent agents in economics and Finance. Information Sciences, 177(5):1153-1168, 2007. details

  6. Shu-Heng Chen and Chung-Chih Liao. Agent-based computational modeling of the stock price-volume relation. Information Sciences, 170(1):75-100, 2005. details

  7. Shu-Heng Chen and Bin-Tzong Chie. Functional Modularity in the Fundamentals of Economic Theory: Toward an Agent-Based Economic Modeling of the Evolution of Technology. International Journal of Modern Physics B, 18(17-19):2376-2386, 2004. details

  8. Shu-Heng Chen and Chia-Hsuan Yeh. On the emergent properties of artificial stock markets: the efficient market hypothesis and the rational expectations hypothesis. Journal of Economic Behavior \& Organization, 49(2):217-239, 2002. details

  9. Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh. Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game. The Electronic Journal of Evolutionary Modeling and Economic Dynamics, 2002. details

  10. Chia-Hsuan Yeh and Shu-Heng Chen. Market Diversity and Market Efficiency: The Approach Based on Genetic Programming. AISB Journal, 1(1):147-167, 2001. details

  11. Shu-Heng Chen and Chia-Hsuan Yeh. Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market. Journal of Economic Dynamics and Control, 25(3-4):363-393, 2001. details

  12. Shu-Heng Chen and Chia-Hsuan Yeh. Simulating economic transition processes by genetic programming. Annals of Operations Research, 97(1-4):265-286, 2000. details

  13. Shu-Heng Chen and Chia-Hsuan Yeh. Modeling the expectations of inflation in the OLG model with genetic programming. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 3(3):53-62, 1999. details

  14. Shu-Heng Chen and Wo-Chiang Lee and Chia-Hsuan Yeh. Hedging derivative securities with genetic programming. Intelligent Systems in Accounting, Finance and Management, 8(4):237-251, 1999. Special Issue: Machine Learning and Data Mining in Finance. details

  15. Shu-Heng Chen and Chia-Hsuan Yeh. Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming. Journal of Economic Dynamics and Control, 21(6):1043-1063, 1997. details

  16. Shu-Heng Chen and Chia-Hsuan Yeh. Information Transmission, Market Efficiency and the Evolution of Information-Processing Technology. Journal of Technology Management, 1(1):23-41, 1996. details

Genetic Programming Books by Shu-Heng Chen

Genetic Programming conference papers by Shu-Heng Chen

  1. Shu-Heng Chen and Kuo-Chuan Shik. Is Genetic Programming ``Human-Competitive''? The Case of Experimental Double Auction Markets. In Hujun Yin and Wenjia Wang and Victor J. Rayward-Smith editors, Proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, volume 6936, pages 116-126, Norwich, UK, 2011. Springer. details

  2. Michael Kampouridis and Shu-Heng Chen and Edward Tsang. Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. In IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr 2011), Paris, 2011. details

  3. Shu-Heng Chen and Chung-Ching Tai and Shu G. Wang. Does Cognitive Capacity Matter When Learning Using Genetic Programming in Double Auction Markets?. In Gennaro di Tosto and H. Van Dyke Parunak editors, Multi-Agent-Based Simulation X, volume 5683, pages 37-48, 2009. Springer. details

  4. Shu-Heng Chen and Ren-Jie Zeng and Tina Yu. Analysis of micro-behavior and bounded rationality in double auction markets using co-evolutionary GP. In Lihong Xu and Erik D. Goodman and Guoliang Chen and Darrell Whitley and Yongsheng Ding editors, GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, pages 807-810, Shanghai, China, 2009. ACM. details

  5. Shu-Heng Chen and Chung-Ching Tai. Modeling Intelligence of Learning Agents in An Artificial Double Auction Market. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 171-182, Tuebingen, 2009. Springer. details

  6. Shu-Heng Chen and Chung-Ching Tai. Modeling intelligence of learning agents in an artificial double auction market. In IEEE Symposium on Computational Intelligence for Financial Engineering, CIFEr '09, pages 36-42, 2009. details

  7. Shu-heng Chen and Bin-tzong Chie. Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach. In Hujun Yin and Peter Tino and Emilio Corchado and Will Byrne and Xin Yao editors, 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, volume 4881, pages 1053-1062, Birmingham, UK, 2007. Springer. details

  8. Shu-Heng Chen and Nicolas Navet. Pretests for Genetic-Programming Evolved Trading Programs: zero-intelligence Strategies and Lottery Trading. In Irwin King and Jun Wang and Laiwan Chan and DeLiang L. Wang editors, Neural Information Processing, 13th International Conference, ICONIP 2006, Proceedings, Part III, volume 4234, pages 450-460, Hong Kong, China, 2006. Springer. details

  9. Shu-Heng Chen and Bin-Tzong Chie. Functional Modularity in the Test Bed of Economic Theory -- Using Genetic Programming. In Maarten Keijzer editor, Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2004. details

  10. Tina Yu and Shu-Heng Chen. Using Genetic Programming with Lambda Abstraction to Find Technical Trading Rules. In Computing in Economics and Finance, University of Amsterdam, 2004. details

  11. Tzu-Wen Kuo and Shu-Heng Chen. Genetic Programming and International Short-Term Capital Flow. In Computing in Economics and Finance, University of Washington, Seattle, USA, 2003. details

  12. Shu-Heng Chen and Tzu-Wen Kuo. Overfitting or Poor Learning: A Critique of Current Financial Applications of GP. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 34-46, Essex, 2003. Springer-Verlag. details

  13. Shu-Heng Chen and Tzu-Wen Kuo. Modeling International Short-Term Capital Flow with Genetic Programming. In Proceedings of the Sixth International Conference on Computational Intelligence and Natural Computing, Embassy Suites Hotel and Conference Center, Cary, North Carolina USA, 2003. details

  14. Shu-heng Chen and Bin-tzong Chie. Economic Models of Innovations: Why GP Can Be a Possible Way Out?. In Hod Lipson and Erik K. Antonsson and John R. Koza editors, AAAI Spring Symposium, Computational Synthesis: From Basic Building Blocks to High Level Functionality, 2003. The AAAI Press. details

  15. Shu-Heng Chen and Bin-Tzong Chie. The Schema Analysis of Emergent Bargaining Strategies in Agent-Based Double Auction Markets. In Fourth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'01), page 61, Yokusike City, Japan, 2001. details

  16. Chia-Hsuan Yeh and Shu-Heng Chen. The Differences between Social and Individual Learning on the Time Series Properties: The Approach Based on Genetic Programming. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 191, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  17. Shu-Heng Chen and Bin-Tzong Chie and Chung-Ching Tai. Evolving Bargaining Strategies with Genetic Programming: An Overview of AIE-DA, Ver. 2, Part 2. In Fourth International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2001, pages 55-60, Yokusika City, Japan, 2001. details

  18. Shu-Heng Chen. Evolving Bargaining Strategies with Genetic Programming: An Overview of AIE-DA, Ver. 2, Part 1. In Fourth International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2001, pages 48-54, Yokusika City, Japan, 2001. details

  19. Shu-Heng Chen. On Bargaining Strategies in the SFI Double Auction Tournaments: Is Genetic Programming the Answer?. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 2000. details

  20. Chia-Hsuan Yeh and Shu-Heng Chen. Toward an integration of social learning and individual learning in agent-based computational stock markets:the approach based on population genetic programming. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 2000. details

  21. Shu-Heng Chen and Chung-Chi Liao and Chi-Hsuan Yeh. On The Emergent Properties Of Artificial Stock Markets: Some Initial Evidences. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 2000. details

  22. Shu-Heng Chen. Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming. In Kwong Sak Leung and Lai-Wan Chan and Helen Meng editors, Intelligent Data Engineering and Automated Learning - IDEAL 2000: Data Mining, Financial Engineering, and Intelligent Agents, volume 1983, pages 517-531, Shatin, N.T., Hong Kong, China, 2000. Springer-Verlag. details

  23. Shu-Heng Chen and Hung-Shuo Wang and Byoung-Tak Zhang. Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Hang-Seng Stock Index. In Hamid R. Arabnia editor, Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, volume 2, pages 437-443, Las Vegas, Nevada, USA, 1999. CSREA Press. details

  24. Shu-Heng Chen and Tzu-Wen Kuo. Towards an Agent-Based Foundation of Financial Econometrics: An Approach Based on Genetic-Programming Artificial Markets. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, page 966, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  25. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming in the Agent-Based Artificial Stock Market. In Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala editors, Proceedings of the Congress on Evolutionary Computation, volume 2, pages 834-841, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  26. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming in the Agent-Based Modeling of Stock Markets. In David A. Belsley and Christopher F. Baum editors, Fifth International Conference: Computing in Economics and Finance, page 77, Boston College, MA, USA, 1999. Book of Abstracts. details

  27. Shu-Heng Chen and Chia-Hsuan Yeh and Woh-Chiang Lee. Option Pricing with Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 32-37, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  28. Shu-Heng Chen and W.-C. Lee and C.-H. Yeh. Hedging Derivative Securities with Genetic Programming. In G. Nakhaeizadeh and E. Steurer editors, Application of Machine Learning and Data Mining in Finance: Workshop at ECML-98, pages 140-151, Dorint-Parkhotel, Chemnitz, Germany, 1998. details

  29. Shu-Heng Chen and C-H. Yeh. Genetic Programming in the Overlapping Generations Model: An Ilustration with the Dynamics of the Inflation Rate. In V. William Porto and N. Saravanan and D. Waagen and A. E. Eiben editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447, pages 829-837, Mission Valley Marriott, San Diego, California, USA, 1998. Springer-Verlag. details

  30. Shu-Heng Chen and Chia-Hsuan Yeh. Trading Restrictions, Speculative Trades and Price Volatility: An Application of Genetic Programming. In Proceedings of the 3rd International Mendel Conference on Genetic Algorithms, Optimization Problems, Fuzzy Logic, Neural Networks, Rough Sets (Mendel'97), pages 31-37., Brno, Czech Republic, 1997. PC-DIR. details

  31. Shu-Heng Chen and Chia-Hsuan Yeh. Speculative Trades and Financial Regulations: Simulation Bassed on Genetic Programming. In A. Ghose editor, Working Notes of The IJCAI-97: Workshop on Business Applications of AI. Fifteenth International Joint Conference on Artificial Intelligence (IJCAI'97), pages 1-8, Nagoya, Japan, 1997. details

  32. Shu-Heng Chen and Chia-Hsuan Yeh. Speculative Trades and Financial Regulations: Simulations Based on Genetic Programming. In Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr'97), pages 123-129, New York City, U.S.A., 1997. IEEE Press. details

  33. Shu-Heng Chen and Chia-Hsuan Yeh. Simulating Economic Transition Processes by Genetic Programming. In R. Kulikowski and Z. Nahorski and J. W. Owsinski editors, Proceedings of the International Conference on Transition to Advanced Market Institutions and Economies: Systems and Operations Research Challenges (Transition'97), pages 87-93, Warsaw, Poland, 1997. details

  34. Shu-Heng Chen and Chia-Hsuan Yeh. Modelling Structural Changes with Genetic Programming: An Outline. In A. Sydow editor, Proceedings of 15th IMACS World Congress on Scientific Computation, Moldelling and Applied Mathematics, volume 2, pages 621-626, Berlin, 1997. Numerical Mathematics, Wissenschaft \& Technik Verlag. details

  35. Shu-Heng Chen and Chia-Hsuan Yeh. Modeling Speculators with Genetic Programming. In Peter J. Angeline and Robert G. Reynolds and John R. McDonnell and Russ Eberhart editors, Proceedings of the Sixth Conference on Evolutionary Programming, volume 1213, pages 137-147, Indianapolis, Indiana, USA, 1997. Springer-Verlag. details

  36. Shu-Heng Chen and Chih-Chi Ni. Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data. In George D. Smith and Nigel C. Steele and Rudolf F. Albrecht editors, Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference, ICANNGA97, pages 397-400, University of East Anglia, Norwich, UK, 1997. Springer-Verlag. published in 1998. details

  37. Shu-Heng Chen and Chia-Hsuan Yeh. Using Genetic Programming to Model Volatility in Financial Time Series: The Case of Nikkei 225 and S\&P 500. In Proceedings of the 4th JAFEE International Conference on Investments and Derivatives (JIC'97), pages 288-306, Aoyoma Gakuin University, Tokyo, Japan, 1997. details

  38. Shu-Heng Chen and Chia-Hsuan Yeh. Using Genetic Programming to Model Volatility in Financial Time Series. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 58-63, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  39. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming and the Efficient Market Hypothesis. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 45-53, Stanford University, CA, USA, 1996. MIT Press. details

  40. Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh. Equilibrium Selection Using Genetic Programming. In S. Amari and L. Xu and L. Chan and I. King and K. Leung editors, Progress in Neural Information Precessing: Proceedings of the International Conference on Neural Information Processing (ICONIP'96), volume 2, pages 1341-1346, Hong Kong Convention and Exhibition Center, Hong Kong, 1996. Springer-Verlag. details

  41. Shu-Heng Chen and Chia-Hsuan Yeh. A Comparison of Forcast Accuracy between Genetic Programming and Other Forcasters: A loss-Differential Approach. In Daniel Borrajo and Pedro Isasi editors, The First International Workshop on Machine Learning, Forecasting, and Optimization (MALFO96), pages 39-51, Gatafe, Spain, 1996. details

  42. Shu-Heng Chen and Chia-Hsuan Yeh. On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model. In Preprints of 13th World Congress International Federation of Automatic Control, volume L, pages 279-284, San Francisco, CA, USA, 1996. details

  43. Shu-Heng Chen and Chia-Hsuan Yeh. Bridging the Gap between Nonlinearity Tests and the Efficient Market Hypothesis by Genetic Programming. In Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, pages 34-39, Crowne Plaza Manhattan, New York City, 1996. IEEE Press. details

  44. Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh. Modelling Coordination Game as a Multi-Agent Adaptive System by Genetic Programming. In W. Van de Velde and J. W. Perram editors, Position Papers of the 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World (MAAMAW'96), 1996. Technical Report 96-1. details

  45. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming Learning in the Cobweb Model with Speculators. In International Computer Symposium (ICS'96). Proceedings of International Conference on Artificial Intelligence, pages 39-46, National Sun Yat-Sen University, Kaohsiung, Taiwan, R.O.C., 1996. details

  46. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming Learning in the Cobweb Model with Speculators. In Proceedings of 3rd Conference on Business Education, pages 155-176, Department of Business Education, National Changhua University of Education, Chunghua, Taiwan, 1996. details

  47. Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh. Genetic Programming in the Coordination Game with a Chaotic Best-Response Function. In Lawrence J. Fogel and Peter J. Angeline and Thomas Baeck editors, Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming, pages 277-286, San Diego, 1996. MIT Press. details

  48. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming in Computable Financial Economics. In Proceedings of the ISCA 11th Conference: Computers and Their Applications, pages 135-138, San Francisco, California, U.S.A., 1996. ISCA Press. details

  49. Shu-Heng Chen and Chia-Hsuan Yeh. Predicting Stock Returns with Genetic Programming: Do the Short-Term Nonlinear Regularities Exist?. In Doug Fisher editor, Proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, pages 95-101, Ft. Lauderdale, Florida, U.S.A., 1995. details

  50. Shu-Heng Chen and Chia-Hsuan Yeh. Predicting Chaotic Dynamic Systems with Genetic Programming. In Proceedings of the 50th International Statistical Institute Session, Beijing, 1995. details

  51. Shu-Heng Chen and Chia-Hsuan Yeh. Information Transmission, Market Efficiency and the Evolution of Information-Processing Technology. In C. Houng editor, Proceedings of the 1995 National Conference on Management of Technology, pages 339-348, 1995. details

  52. Shu-Heng Chen and Chia-Hsuan Yeh. On the Competitiveness of the Quantity Theory of Money: A Natural-Selection Test Based on Genetic Programming. In 11th International Conference on Advanced Science and Technology, Chicago, Illinois, U.S.A, 1995. details

  53. Shu-Heng Chen and Chia-Hsuan Yeh. On the Coordination and Adaptability of the Large Economy: An Application of Genetic Programming to the Cobweb Model. In Proceedings of the First International Conference on Applications of Dynamic Models to Economics, pages 121-159, ChungLi, Taiwan, R.O.C., 1995. details

  54. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming, Predictability and Stock Market Efficiency. In Proceedings of 1995 IFAC/IFIP/IFORS/SEDC Symposium on Modelling and Control of National and Regional Economies, volume II, Gold Coast, Australia, 1995. details

Genetic Programming book chapters by Shu-Heng Chen

  1. Michael Kampouridis and Shu-Heng Chen and Edward Tsang. The Market Fraction Hypothesis under Different Genetic Programming Algorithms. In Alexander Y. Yap editor, Information Systems for Global Financial Markets: Emerging Developments and Effects, chapter 3, pages 37-54. IGI global, 2011. details

  2. Shu-Heng Chen and Ren-Jie Zeng and Tina Yu and Shu G. Wang. Bounded Rationality and Market Micro-Behaviors: Case Studies Based on Agent-Based Double Auction Markets. In Shu-Heng Chen and Yasushi Kambayashi and Hiroshi Sato editors, Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, chapter 5, pages 78-94. IGI Global, 2010. details

  3. Shu-Heng Chen and Ren-Jie Zeng and Tina Yu. Co-Evolving Trading Strategies to Analyze Bounded Rationality in Double Auction Markets. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 13, pages 195-215. Springer, Ann Arbor, 2008. details

  4. Shu-heng Chen and Nicolas Navet. Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms. In Shu-Heng Chen and Paul P. Wang and Tzu-Wen Kuo editors, Computational Intelligence in Economics and Finance: Volume II, pages 169-182. Springer, 2007. details

  5. Shu-Heng Chen and Bin-Tzong Chie. A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology. In Akira Namatame and Yuuji Aruka and Taisei Kaizouji editors, The Complex Networks of Economic Interactions: Essays in Agent-Based Economics and Econophysics, volume 567 of Lecture Notes in Economics and Mathematical Systems, pages 165-178. Springer, 2006. details

  6. Tina Yu and Shu-Heng Chen and Tzu-Wen Kuo. Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 2, pages 11-30. Springer, Ann Arbor, 2004. details

  7. Tina Yu and Shu-Heng Chen and Tzu-Wen Kuo. A Genetic Programming approach to Model International Short-term Capital Flow. In Jane M. Binner and Graham Kendall and Shu-Heng Chen editors, Applications of Artificial Intelligence in Finance and Economics, volume 19 of Advances in Econometrics, chapter 2, pages 45-70. Jai Pr, 2004. details

  8. Chia-Hsuan Yeh and S.-H. Chen and C.-C. Liao. On AIE-ASM: Software to Simulate Artificial Stock Markets with Genetic Programming. In Shu-Heng Chen editor, Evolutionary Computation in Economics and Finance, volume 100 of Studies in Fuzziness and Soft Computing, chapter 6, pages 107-122. Physica Verlag, 2002. details

  9. Shu-Heng Chen and Chung-Ching Tai and Bin-Tzong Chie. Individual Rationality as a Partial Impediment to Market Efficiency: Allocative Efficiency of Markets with Smart Traders. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 17, pages 379-396?. Kluwer Academic Press, 2002. details

  10. Shu-Heng Chen and Chung-Chih Liao. Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 16, pages 335-356?. Kluwer Academic Press, 2002. details

  11. Shu-Heng Chen and Tzu-Wen Kuo and Yuh-Pyng Shieh. Genetic Programming: A Tutorial. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 3, pages 55-80?. Kluwer Academic Press, 2002. details

  12. Shu-Heng Chen. An Overview. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 1, pages 1-28?. Kluwer Academic Press, 2002. details

  13. Shuheng Chen and Jiaxuan Ye. Competition in "Quantity theory of money" : Genetic Programming Application in Knowledge Discovery. In Wenshan Yang editor, Development(s) and Application(s) of Measurement Method(s) in Social Science, number 41 of Literature of Sun Yat-Sen Institute for Social Sciences and Philosophy, chapter 7, pages 139-183. Sun Yat-Sen Institute for Social Sciences and Philosophy, Taipei, Taiwan, 1997. details

  14. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming Learning and the Cobweb Model. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 22, pages 443-466. MIT Press, Cambridge, MA, USA, 1996. details

  15. Shu-Heng Chen. Genetic Programming, Predictability, and Stock Market Efficiency. In L. Vlacic and T. Nguyen and D. Cecez-Kecmanovic editors, Modelling and Control of National and Regional Economies 1995, pages 283-288. Pergamon, Oxford, Great Britain, 1996. details

Genetic Programming other entries for Shu-Heng Chen