Generalized ( 𠑑 - 𠜌 - 𠜂 - 𠜃 ) -Type I Univex Functions in Multiobjective Optimization
Pallavi Kharbanda,
Divya Agarwal and
Deepa Sinha
Advances in Operations Research, 2012, vol. 2012, 1-13
Abstract:
A new class of generalized functions ( 𠑑 - 𠜌 - 𠜂 - 𠜃 ) -type I univex is introduced for a nonsmooth multiobjective programming problem. Based upon these generalized functions, sufficient optimality conditions are established. Weak, strong, converse, and strict converse duality theorems are also derived for Mond-Weir-type multiobjective dual program.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/AOR/2012/279215.pdf (application/pdf)
http://downloads.hindawi.com/journals/AOR/2012/279215.xml (text/xml)
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:hin:jnlaor:279215
DOI: 10.1155/2012/279215
Access Statistics for this article
More articles in Advances in Operations Research from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().