EconPapers    
Economics at your fingertips  
 

Evolutionary programming as a solution technique for the Bellman equation

Paul Gomme ()

No 9816, Working Paper from Federal Reserve Bank of Cleveland

Abstract: Evolutionary programming is a stochastic optimization procedure that has proved useful in optimizing difficult functions. This paper shows that evolutionary programming can be used to solve the Bellman equation problem with a high degree of accuracy and substantially less CPU time than Bellman equation iteration. Future applications will focus on sometimes binding constraints, a class of problem for which standard solutions techniques are not applicable.

Keywords: Programming (Mathematics); Econometric models (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp and nep-dge
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
https://www.clevelandfed.org/~/media/content/newsr ... ique%20pdf.pdf?la=en Full text (application/pdf)

Related works:
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: http://EconPapers.repec.org/RePEc:fip:fedcwp:9816

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Working Paper from Federal Reserve Bank of Cleveland Contact information at EDIRC.
Series data maintained by 4D Library ().

 
Page updated 2017-07-16
Handle: RePEc:fip:fedcwp:9816