EconPapers    
Economics at your fingertips  
 

Discrete Optimizing Solution Procedures for Linear and Nonlinear Integer Programming Problems

Stanley Reiter and Donald B. Rice
Additional contact information
Donald B. Rice: Purdue University

Management Science, 1966, vol. 12, issue 11, 829-850

Abstract: We present a method for approximating the solution of mixed integer non-concave programming problems in bounded variables. We present computational results for 39 test problems which suggest that the procedure offers a practical useful way of approximating solutions of programming problems of the type tested. We have also discovered an apparent regularity in the distribution of local optima generated by the method; the method seems to generate Beta distributions in all problems for which results are available. This suggests interesting opportunities for further exploration.

Date: 1966
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.12.11.829 (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: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:12:y:1966:i:11:p:829-850

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormnsc:v:12:y:1966:i:11:p:829-850