EconPapers    
Economics at your fingertips  
 

Minimization by Random Search Techniques

Francisco J. Solis and Roger J.-B. Wets
Additional contact information
Francisco J. Solis: Department of Mathematics, University of Kentucky, Lexington, Kentucky 40506
Roger J.-B. Wets: Department of Mathematics, University of Kentucky, Lexington, Kentucky 40506

Mathematics of Operations Research, 1981, vol. 6, issue 1, pages 19-30

Abstract: We give two general convergence proofs for random search algorithms. We review the literature and show how our results extend those available for specific variants of the conceptual algorithm studied here. We then exploit the convergence results to examine convergence rates and to actually design implementable methods. Finally we report on some computational experience.

Keywords: minimization; random search (search for similar items in EconPapers)
Date: 1981
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://dx.doi.org/10.1287/moor.6.1.19 (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:inm:ormoor:v:6:y:1981:i:1:p:19-30

Access Statistics for this article

More articles in Mathematics of Operations Research from INFORMS Contact information at EDIRC.
Series data maintained by Mirko Janc ().

 
Page updated 2017-03-03
Handle: RePEc:inm:ormoor:v:6:y:1981:i:1:p:19-30