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Off-line computation of Stackelberg solutions with the genetic algorithm

Thomas Vallee and Tamer Başar
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Tamer Başar: UIUC - University of Illinois at Urbana-Champaign [Urbana] - University of Illinois System

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Abstract: The 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.

Date: 1999-06
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Published in Computational Economics, 1999, 13 (3), pp.201-209. ⟨10.1023/A:1008652106422⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03193665

DOI: 10.1023/A:1008652106422

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