Off-line computation of Stackelberg solutions with the genetic algorithm

Thomas Vallée; Tamer Başar

doi:10.1023/A:1008652106422

Off-line computation of Stackelberg solutions with the genetic algorithm

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	201-209
Number of pages	9
Journal	Computational Economics
Volume	13
Issue number	3
DOIs	https://doi.org/10.1023/A:1008652106422
State	Published - 1999

Keywords

Genetic algorithm
Off-line computation
Stackelberg game

ASJC Scopus subject areas

Economics, Econometrics and Finance (miscellaneous)
Computer Science Applications

Online availability

10.1023/A:1008652106422

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title = "Off-line computation of Stackelberg solutions with the genetic algorithm",

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.",

keywords = "Genetic algorithm, Off-line computation, Stackelberg game",

author = "Thomas Vall{\'e}e and Tamer Ba{\c s}ar",

note = "Funding Information: The paper was written while the first author was visiting at the Coordinated Sciences Laboratory. The kind hospitality of the Laboratory is most gratefuly acknowledged. Research of the second author was supported in part by a Grant (ECS 93-12807) from the National Science Foundation. Finally, the authors would like to thank Christophe Deissenberg for his useful comments.",

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AU - Başar, Tamer

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PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

KW - Genetic algorithm

KW - Off-line computation

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Off-line computation of Stackelberg solutions with the genetic algorithm

Abstract

Keywords

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