EconPapers    
Economics at your fingertips  
 

A genetic algorithm for discriminant analysis

Daniel Conway, A. Victor Cabot and M.A. Venkataramanan

Annals of Operations Research, 1998, vol. 78, issue 0, 82 pages

Abstract: In this paper we propose a genetic algorithm for discriminant analysis. The genetic fitness function uses duality principles of mathematical programming to solve the linear discriminant problem. The genetic method performed well in empirical testing and also provides the reasoning power behind the mathematical programming models. Copyright Kluwer Academic Publishers 1998

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018958318666 (text/html)
Access to full text is restricted to subscribers.

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: https://EconPapers.repec.org/RePEc:spr:annopr:v:78:y:1998:i:0:p:71-82:10.1023/a:1018958318666

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018958318666

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:78:y:1998:i:0:p:71-82:10.1023/a:1018958318666