Off-line computation of Stackelberg solutions with the genetic algorithm

Thomas Vallée, Tamer Başar

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)201-209
Number of pages9
JournalComputational Economics
Issue number3
StatePublished - 1999


  • Genetic algorithm
  • Off-line computation
  • Stackelberg game

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (miscellaneous)
  • Computer Science Applications


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