Off-Line Computation of Stackelberg Solutions with the Genetic Algorithm
Thomas Vallee and
Tamer Basar
Computational Economics, 1999, vol. 13, issue 3, 09 pages
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. Citation Copyright 1999 by Kluwer Academic Publishers.
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://journals.kluweronline.com/issn/0927-7099/contents (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: Off-line computation of Stackelberg solutions with the genetic algorithm (1999)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:13:y:1999:i:3:p:201-09
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().