Off-Line Computation of Stackelberg Solutions with the Genetic Algorithm
AbstractThe paper studies off-line computation of the Stackelberg solution in a repeated game framework, utilizing the Genetic Algorithm. Simulations are conducted with a numerical linear quadratic example and a Fish War game example. Furthermore, it is shown that an evolutionary mutation probability is preferable to a fixed one as usually assumed. Citation Copyright 1999 by Kluwer Academic Publishers.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 13 (1999)
Issue (Month): 3 (June)
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- Tharakunnel, Kurian & Bhattacharyya, Siddhartha, 2009. "Single-leader-multiple-follower games with boundedly rational agents," Journal of Economic Dynamics and Control, Elsevier, vol. 33(8), pages 1593-1603, August.
- Graupner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 135, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
- Nunez-Letamendia, Laura, 2007. "Fitting the control parameters of a genetic algorithm: An application to technical trading systems design," European Journal of Operational Research, Elsevier, vol. 179(3), pages 847-868, June.
- Laura Marta Nuã‘Ez, 2002. "An Analysis Of The Robustness Of Genetic Algorithm (ga) Methodology In The Design Of Trading System," Working Papers Economia wp02-24, Instituto de Empresa, Area of Economic Environment.
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