Genetic Programming Bibliography entries for Edward P K Tsang

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GP coauthors/coeditors: Babatunde Aluko, Dafni Smonou, Michael Kampouridis, Dario Bernardo, Hani Hagras, James M Butler, Alma Lilia Garcia Almanza, Serafin Martinez Jaramillo, Biliana Alexandrova-Kabadjova, Nanlin Jin, Jin Li, Shu-Heng Chen, Sheri M Markose, Hakan Er, Abdel Salhi, Conor Ryan, Terence Soule, Maarten Keijzer, Riccardo Poli, Ernesto Costa, Ming Shao, Giulia Iori, Paul Yung, Pu Wang, Thomas Weise, Ke Tang, Xin Yao,

Genetic Programming Articles by Edward P K Tsang

  1. Pu Wang and Ke Tang and Thomas Weise and E. P. K. Tsang and Xin Yao. Multiobjective genetic programming for maximizing ROC performance. Neurocomputing, 125:102-118, 2014. details

  2. 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

  3. Serafin Martinez-Jaramillo and Edward P. K. Tsang. An Heterogeneous, Endogenous and Coevolutionary GP-Based Financial Market. IEEE Transactions on Evolutionary Computation, 13(1):33-55, 2009. details

  4. Nanlin Jin and Edward Tsang and Jin Li. A constraint-guided method with evolutionary algorithms for economic problems. Applied Soft Computing, 9(3):924-935, 2009. details

  5. Alma Lilia Garcia-Almanza and Edward P. K. Tsang. Evolving Decision Rules to Predict Investment Opportunities. International Journal of Automation and Computing, 5(1):22-31, 2008. details

  6. Alma Lilia Garcia-Almanza and Edward P. K. Tsang. Detection of stock price movements using chance discovery and genetic programming. International Journal of Knowledge-Based and Intelligent Engineering Systems, 11(5):329-344, 2007. details

  7. Edward P. K. Tsang and Sheri Markose and Hakan Er. Chance discovery in stock index option and future arbitrage. New Mathematics and Natural Computation, 1(3):435-447, 2005. details

  8. Edward Tsang and Paul Yung and Jin Li. EDDIE-Automation, a decision support tool for financial forecasting. Decision Support Systems, 37(4):559-565, 2004. Data mining for financial decision making. details

  9. Edward P. K. Tsang and Jin Li and Sheri Markose and Hakan Er and Abdel Salhi and Giulia Iori. EDDIE In Financial Decision Making. Journal of Management and Economics, 4(4) 2000. details

  10. Edward P. K. Tsang and Jin Li and James M. Butler. EDDIE beats the bookies. Software: Practice and Experience, 28(10):1033-1043, 1998. details

Genetic Programming Books by Edward P K Tsang

Genetic Programming Conference proceedings edited by Edward P K Tsang

Genetic Programming conference papers by Edward P K Tsang

  1. Ming Shao and Dafni Smonou and Michael Kampouridis and Edward Tsang. Guided Fast Local Search for speeding up a financial forecasting algorithm. In IEEE Conference on Computational Intelligence for Financial Engineering Economics (CIFEr 2104), pages 325-332, 2014. details

  2. Babatunde Aluko and Dafni Smonou and Michael Kampouridis and Edward Tsang. Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. In IEEE Conference on Computational Intelligence for Financial Engineering Economics (CIFEr 2104), pages 333-340, 2014. details

  3. Dafni Smonou and Michael Kampouridis and Edward Tsang. Metaheuristics Application on a Financial Forecasting Problem. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1021-1028, Cancun, Mexico, 2013. details

  4. Dario Bernardo and Hani Hagras and Edward Tsang. A Genetic Type-2 fuzzy logic based system for financial applications modelling and prediction. In IEEE International Conference on Fuzzy Systems (FUZZ 2013), 2013. details

  5. Dario Bernardo and Hani Hagras and Edward Tsang. An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets. In 12th UK Workshop on Computational Intelligence (UKCI 2012), 2012. details

  6. Pu Wang and Ke Tang and Edward Tsang and Xin Yao. A Memetic Genetic Programming with Decision Tree-based Local Search for Classification Problems. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 916-923, New Orleans, USA, 2011. IEEE Press. details

  7. 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

  8. Pu Wang and Edward P. K. Tsang and Thomas Weise and Ke Tang and Xin Yao. Using GP to Evolve Decision Rules for Classification in Financial Data Sets. In Fuchun Sun and Yingxu Wang and Jianhua Lu and Bo Zhang and Witold Kinsner and Lotfi A. Zadeh editors, 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), pages 722-727, Tsinghua University, Beijing, China, 2010. IEEE. Special Session on Evolutionary Computing. details

  9. Michael Kampouridis and Edward Tsang. EDDIE for investment opportunities forecasting: Extending the search space of the GP. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  10. Alma Lilia Garcia-Almanza and Edward P. K. Tsang. Repository Method to Suit Different Investment Strategies. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 790-797, Singapore, 2007. IEEE Press. details

  11. Alma Lilia Garcia-Almanza and Edward P. K. Tsang. Forecasting stock prices using Genetic Programming and Chance Discovery. In 12th International Conference On Computing In Economics And Finance, page number 489, 2006. details

  12. Edward Tsang and Nanlin Jin. Incentive Method to Handle Constraints in Evolutionary. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 133-144, Budapest, Hungary, 2006. Springer. details

  13. Nanlin Jin and Edward Tsang. Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. In Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 7913-7920, Vancouver, 2006. IEEE Press. details

  14. Alma L Garcia-Almanza and Edward P. K. Tsang. The Repository Method for Chance Discovery in Financial Forecasting. In Bogdan Gabrys and Robert J. Howlett and Lakhmi C. Jain editors, KES 2006, Proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, volume 4253, pages 30-37, Bournemouth, UK, 2006. Springer-Verlag. Part III. details

  15. Alma Lilia Garcia-Almanza and Edward P. K. Tsang. Simplifying Decision Trees Learned by Genetic Programming. In Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 7906-7912, Vancouver, 2006. IEEE Press. details

  16. Nanlin Jin and Edward P. K. Tsang. Relative Fitness and Absolute Fitness for Co-evolutionary Systems. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 331-340, Lausanne, Switzerland, 2005. Springer. details

  17. Nanlin Jin and Edward Tsang. Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. In Graham Kendall and Simon Lucas editors, IEEE 2005 Symposium on Computational Intelligence and Games CIG'05, pages 211-217, Essex, UK, 2005. IEEE Press. details

  18. Sheri Markose and Edward Tsang and Hakan Er and Abdel Salhi. Evolutionary Arbitrage For FTSE-100 Index Options and Futures. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 275-282, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  19. Edward P. K. Tsang and Jin Li. Combining Ordinal Financial Predictions 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 532-537, Shatin, N.T., Hong Kong, China, 2000. Springer-Verlag. details

  20. Jin Li and Edward P. K. Tsang. Reducing Failures in Investment Recommendations using Genetic Programming. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 2000. details

  21. Jin Li and Edward P. K. Tsang. Investment Decision Making Using FGP: A Case Study. 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 1253-1259, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  22. Jin Li and Edward P. K. Tsang. Linear programming. In Proceedings of Twelth International Florida Artificial Intelligence Research Society Conference, 1999. AAAI Press. details

Genetic Programming book chapters by Edward P K Tsang

  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. Alma Lilia Garcia Almanza and Serafin Martinez Jaramillo and Biliana Alexandrova-Kabadjova and Edward Tsang. Using Genetic Programming Systems as Early Warning to Prevent Bank Failure. In Alexander Y. Yap editor, Information Systems for Global Financial Markets: Emerging Developments and Effects, chapter 14, pages 369-382. IGI global, 2011. details

  3. Edward P. K. Tsang and Jin Li. EDDIE for financial forecasting. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 7, pages 161-174. Kluwer Academic Press, 2002. details

  4. Sheri Markose and Edward Tsang and Hakan Er. EDDIE for Stock Index Options and Futures Arbitrage. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 14, pages 281-308. Kluwer Academic Press, 2002. details

Genetic Programming technical reports by Edward P K Tsang