Abstract
This chapter demonstrates a computer program for tutoring genetic programming (GP). The software, called Simple GP, is developed by the AI-ECON Research Center at National Chengchi University, Taiwan. Using this software, the instructor can help students without programming background to quickly grasp some essential elements of GP. Along with the demonstration of the software is a list of key issues regarding the effective design of the implementation of GP. Some of the issues are already well noticed and studied by financial users of GP, but some are not. While many of the issues do not have a clear-cut answer, the attached software can help beginners to tackle those issues on their own. Once they have a general grasp of how to implement GP effectively, many advanced materials prepared in this volume are there for further exploration.
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References
Chen, S.-H. (2002). “Fundamental Issues in the Use of Genetic Programming in Agent-Based Computational Economics,” in A. Namatame and H. Sato (eds.), Agent-based Approaches in Economic and Social Complex Systems. IOS Press.
Chen, S.-H. and C.-H. Yeh (1997). “Toward a Computable Approach to the Efficient Market Hypothesis: An Application of Genetic Programming,” Journal of Economic Dynamics and Control, 21(6), 1043–1063.
Chidambaran, N., C.-W. J. Lee, and J. Trigueros (2002). “Option Pricing via Genetic Programming,” in S.-H. Chen (ed.), Evolutionary Computation in Economics and Finance, 383–398. Physica-Verlag.
Lettau, M. (1997). “Explaining the Facts with Adaptive Agents: the Case of Mutual Fund Flows,” Journal of Economic Dynamics and Control, 21(7), 1117–1147.
Loraschi, A. and A. Tettamanzi (1996). “An Evolutionary Algorithm for Portfolio Selection within a Downside Framework,” in C. Dunis (Ed.), Forecasting Financial Markets: Exchange Rates, Interest Rates and Asset Management, 275-285. John Wiley & Sons.
Novkovic, S. (1998). “A Genetic Algorithm Simulation of a Transition Economy: An Application to Insider-Privatization in Croatia,” Computational Economics, 11(3), 221–243.
Tsang, R. and {euP. Lajbcygier}(2002). “Optimization of Technical Trading Strategy with Split Search Gen Abu-Metic Algorithms,” in S.-H. Chen (ed.), Evolutionary Computation in Economics and Finance, 333–358. Physica-Verlag.
Varian, H. R. (1992). Microeconomic Analysis, 3rd ed. Norton.
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© 2002 Springer Science+Business Media New York
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Chen, SH., Kuo, TW., Shieh, YP. (2002). Genetic Programming: A Tutorial With The Software Simple GP. In: Chen, SH. (eds) Genetic Algorithms and Genetic Programming in Computational Finance. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0835-9_3
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DOI: https://doi.org/10.1007/978-1-4615-0835-9_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5262-4
Online ISBN: 978-1-4615-0835-9
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