Off-Line Computation of Stackelberg Solutions with the Genetic Algorithm

Authors:
Thomas Vallé/e;Tamer Baş/ar
Affiliations:
LEN-C3E, Economics Department, University of Nantes, France/ E-mail: vallee@sc-eco.univ-nantes.fr;Coordinated Sciences Laboratory, University of Illinois at Urbana-Champaign, USA/ E-mail: tbasar@isaacs.csl.uiuc.edu
Venue:
Computational Economics
Year:
1999

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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.