Algorithms for solving discrete optimal control problems with infinite time horizon and determining minimal mean cost cycles in a directed graph as decision support tool
Time-discrete systems with a finite set of states are considered. Discrete optimal control problems with infinite time horizon for such systems are formulated. We introduce a certain graph-theoretic structure to model the transitions of the dynamical system. Algorithms for finding the optimal stationary control parameters are presented. Furthermore, we determine the optimal mean cost cycles. This approach can be used as a decision support strategy within such a class of problems; especially so-called multilayered decision problems which occur within environmental emission trading procedures can be modelled by such an approach. Copyright Springer-Verlag 2009
Volume (Year): 17 (2009)
Issue (Month): 3 (September)
|Contact details of provider:|| Web page: http://www.springer.com|
Web page: http://www.fhi.sk/ssov
Web page: http://www.mot.org.hu/index_en.html
Web page: http://nb.vse.cz/csov/english.htm
Web page: http://www.oegor.at/
Web page: http://hdoi.hr/en_US/en/
|Order Information:||Web: http://www.springer.com/business/operations+research/journal/10100|
When requesting a correction, please mention this item's handle: RePEc:spr:cejnor:v:17:y:2009:i:3:p:255-264. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.