On the Fritz John saddle point problem for differentiable multiobjective optimization
Maria C. Maciel,
Sandra A. Santos () and
Graciela N. Sottosanto
Additional contact information
Maria C. Maciel: Universidad Nacional del Sur
Sandra A. Santos: Universidade Estadual de Campinas
Graciela N. Sottosanto: Universidad Nacional del Comahue (AR)
OPSEARCH, 2016, vol. 53, issue 4, No 11, 917-933
Abstract:
Abstract In this contribution, the relationship between saddle points of Lagrangian functions associated with the inequality constrained multiobjective optimization problem and Fritz John critical points are presented under generalized notions of convexity. Assuming invexity and an extended Slater-type condition upon the multiobjective problem, a regular solution to the Fritz-John system is obtained that encompasses all the objective functions. Also, a new class of generalized convex problems is defined, and its connections with other existing classes are established.
Keywords: Multiobjective optimization; Fritz John points; Saddle points (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12597-016-0253-x 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:opsear:v:53:y:2016:i:4:d:10.1007_s12597-016-0253-x
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597
DOI: 10.1007/s12597-016-0253-x
Access Statistics for this article
OPSEARCH is currently edited by Birendra Mandal
More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().