EconPapers    
Economics at your fingertips  
 

On Weak and Strong Kuhn–Tucker Conditions for Smooth Multiobjective Optimization

Regina S. Burachik () and M. M. Rizvi ()
Additional contact information
Regina S. Burachik: University of South Australia
M. M. Rizvi: University of South Australia

Journal of Optimization Theory and Applications, 2012, vol. 155, issue 2, No 7, 477-491

Abstract: Abstract We consider a smooth multiobjective optimization problem with inequality constraints. Weak Kuhn–Tucker (WKT) optimality conditions are said to hold for such problems when not all the multipliers of the objective functions are zero, while strong Kuhn–Tucker (SKT) conditions are said to hold when all the multipliers of the objective functions are positive. We introduce a new regularity condition under which (WKT) hold. Moreover, we prove that for another new regularity condition (SKT) hold at every Geoffrion-properly efficient point. We show with an example that the assumption on proper efficiency cannot be relaxed. Finally, we prove that Geoffrion-proper efficiency is not needed when the constraint set is polyhedral and the objective functions are linear.

Keywords: Multiobjective optimization; Regularity conditions; Optimality conditions for efficient and Geoffrion-properly efficient solution; Weak and strong Kuhn–Tucker conditions (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-012-0078-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:joptap:v:155:y:2012:i:2:d:10.1007_s10957-012-0078-6

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-012-0078-6

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:155:y:2012:i:2:d:10.1007_s10957-012-0078-6